Method for searching target intellectual property to find target item and computer device performing same

Abstract

A method for searching a target intellectual property to find a target item according to an embodiment is executed by a computer device. The method for searching the target intellectual property to search the target item comprises the following steps: obtaining a query word of a specified target item; and based on the query word, searching a plurality of target intellectual property rights for at least one purpose in research and / or development and production of the target project. Wherein the plurality of target intellectual property rights comprise respective intellectual property rights of at least two elements in the elements of the target project, and / or intellectual property rights which are used for implementation, operation, production and application of the target project and are related to a combined technology of the at least two elements.

Description

TECHNICAL FIELD

[0001] The present invention relates to a method for searching for target intellectual property to find a target project and a computer device for performing the method. BACKGROUND

[0002] In 2021, about 1.4 million patents were registered in total in five jurisdictions (Korea, China, the United States, Europe, and Japan) including Korea. In addition, about 1 million patents were registered every year for five years before 2021.

[0003] However, among such a large number of registered patents, registered patents actually used by the patentee for product research, development, or production account for only a part of them.

[0004] The reason why only some patents, not all registered patents, are used by the patentee (or licensee) can be attributed to the "insurance characteristic" of a patent. As is well known, insurance is a means of making preparations in advance for an event that has not yet occurred but is expected to occur. Like such insurance, a patent is also a protective means for protecting technology that is expected to be used in the future but is not currently used by the patentee himself for research and development or production, or preempting technology that is expected to be used by a competitor, thereby preventing the competitor from implementing it.

[0005] However, not everything goes as predicted. Unlike when the patent is obtained, during the research and development or production process of the patentee himself, technology different from the technology protected by the patent can be used. In addition, even if the patent is registered in order to prevent a competitor from implementing it, the competitor can intentionally or unintentionally circumvent the registered patent to implement it. In this case, it cannot be said that the registered patent is used in accordance with the intention of the patentee.

[0006] Therefore, measures need to be taken to ensure that registered patents can be properly utilized. One of the measures is to transfer the registered patent to the requesting implementor or grant the requesting implementor a license to such registered patent.

[0007] In this case, several procedures are required to transfer the registered patent or grant a license thereto. For example, a lawyer or a patent attorney can be commissioned to handle the license contract matter. In addition, in order to be used as a basis for pricing of the license fee, a patent evaluation can be required, in which a specialist such as a patent attorney or an accountant can be designated.

[0008] In other words, in the case of transferring the registered patent or granting a license to the patent, procedures for designating various specialists need to be performed. In this case, it can take a considerable amount of time and cost for the specialists to perform their tasks.

[0009] Therefore, for ordinary people, transferring or receiving registered patents, or granting or receiving licenses for registered patents, can be burdensome to some extent. SUMMARY

[0010] TECHNICAL PROBLEM According to one embodiment, the target to be solved includes searching for, by an artificial intelligence model, intellectual property rights related to a technology used for research, development or production of a target project, among various types of intellectual property rights including patents.

[0011] In addition, such a target can also include providing a platform for facilitating transfer and licensing of the searched intellectual property rights, that is, a platform that can easily complete the transfer or contract of these intellectual property rights.

[0012] In addition, the above-mentioned target can also include packaging and trading information generated by such a search, that is, the technology necessary for the research, development or production of the target project and the intellectual property rights information about such technology.

[0013] However, such a target should not be interpreted as being limited to the above.

[0014] METHOD FOR SOLVING TECHNICAL PROBLEM According to a first embodiment, a method for searching for target intellectual property rights for a target project performed by a computer device can include: obtaining a query word specifying the target project; and searching for a plurality of target intellectual property rights for at least one of research, development and production of the target project based on the query word, wherein the plurality of target intellectual property rights includes intellectual property rights for each of at least two elements of the target project, and intellectual property rights for a combination technology of the at least two elements for implementation, operation, production and application of the target project.

[0015] Further, the search can include: searching for the elements of the target project based on the query word; searching for the target intellectual property rights in which at least one of the searched elements is recorded; searching for the combination technology using the technology for combining the elements as the query word; and searching for the target intellectual property rights in which the searched combination technology is recorded.

[0016] Further, in the search process, a patent in which at least one of the elements of the target project or the combination technology of the elements is recorded in the claim can be searched as the target intellectual property rights.

[0017] Further, the method for searching target intellectual property for the target project can further include selecting a patent in which an additional element not included in the target project is described in a claim or a combination technology different from the combination technology of the elements is described, and controlling the target intellectual property not to include the selected patent in the search.

[0018] Further, at least one of the additional element and the different combination technology can be determined according to an input of a requestor of implementation of the target intellectual property.

[0019] Further, the method for searching target intellectual property for the target project can further include selecting a patent in which an additional element not included in the target project is described in a claim or a combination technology different from the combination technology of the elements is described, and presenting the selected patent as a reference technology in research or development of the target project to a requestor of implementation of the target intellectual property, and searching for intellectual property including at least one of the additional element or the different combination technology when a search request for the reference technology is received from the requestor of implementation.

[0020] Further, the method for searching target intellectual property for the target project can further include acquiring information of intellectual property that can be searched as the target intellectual property in the search and intellectual property that should not be included in a search result, wherein the target intellectual property is searched from among the intellectual property of which the corresponding information can be searched as the target intellectual property.

[0021] Further, the query word can include a phrase specifying performance improvement of the target project, and in the search, a patent in which at least one of the phrase or a semantic synonym thereof is included in a part in which an invention effect is described is searched as the target intellectual property.

[0022] Further, the query word can include a quantitative index phrase indicating performance of the target project, and in the search, a patent in which performance of the target project extracted from a part in which an invention effect is described satisfies a range defined by the quantitative index phrase is searched as the target intellectual property.

[0023] Further, in the search, even if performance of the target project extracted from the part in which the invention effect is described deviates from the range defined by the quantitative index phrase, a patent in which it is described in a detailed description of the invention that the performance of the target project should not be interpreted restrictively as what is described in the detailed description of the invention or the invention effect is searched as the target intellectual property.

[0024] Furthermore, the target intellectual property rights may include at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, or trade secrets.

[0025] Furthermore, during the search process, the language model that receives the query terms can search for and provide the multiple target intellectual property rights.

[0026] Furthermore, the language model can be trained by fine-tuning a pre-trained model based on at least one of the following: a paper, a published patent document, or a published utility model document.

[0027] Furthermore, during the fine-tuning process, reinforcement learning based on human feedback can be performed.

[0028] Furthermore, in the reinforcement learning process based on human feedback, a training process using a set of dialogues generated by humans, and a training process in which humans rank and select from multiple outputs generated by the language model, can be performed.

[0029] Furthermore, the method for searching the target intellectual property to find the target project may further include: using the legal right to use the searched target intellectual property as the subject of a contract, and signing a contract reflecting the agreement between the right holder of the target intellectual property and the party requesting implementation.

[0030] Furthermore, the contract may include a transfer agreement or licensing agreement for the target intellectual property rights found in the search.

[0031] Furthermore, the agreed matters may include at least one of the following: the transfer amount of the target intellectual property rights found, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the patent claims for which legal use rights are granted, or whether trade secrets (technical assistance) are provided.

[0032] Furthermore, the agreed-upon terms can be input by the rights holder of the target intellectual property.

[0033] Furthermore, based on statistics or artificial intelligence, at least one of the highest, lowest, or average amounts of the transfer amount or the licensing fee can be provided as reference information to the rights holder of the target intellectual property.

[0034] Furthermore, the method for searching the target intellectual property to find the target project may further include: recommending a mediator through a pre-trained mediator recommendation model to mediate the needs between the right holder of the target intellectual property and the party requesting implementation, wherein the agreed matters are mediated by the mediator recommended by the mediator recommendation model.

[0035] Furthermore, the mediator recommendation model can recommend mediators based on at least one of the following: the mediation success rate of each mediator categorized by technical field, and the past agreement tendencies of the right holder of the target intellectual property and the party requesting enforcement.

[0036] Furthermore, the method for searching the target intellectual property to find the target project may further include: recommending a mediation scheme for coordinating the needs between the right holder of the target intellectual property and the party requesting implementation through a pre-trained mediation scheme recommendation model, wherein the agreed matters include the mediation scheme recommended by the mediation scheme recommendation model.

[0037] Furthermore, the method for searching the target intellectual property to find the target project may further include: obtaining request items from the right holder of the target intellectual property and the party requesting implementation, respectively; and preparing a term sheet containing the obtained request items, and providing the term sheet to the right holder of the target intellectual property and the party requesting implementation, respectively.

[0038] Furthermore, in the term list, matters in the obtained request items that have been agreed upon by both parties and matters in which the parties have not reached an agreement can be distinguished and represented.

[0039] Furthermore, the method for searching the target intellectual property to find the target project may further include: mapping the content contained in the signed contract onto a predetermined blockchain.

[0040] Furthermore, the method for searching the target intellectual property to find the target project may further include: obtaining information on the relative importance of each element and the combined technology for the target project; determining the licensing fee limit for each element and the combined technology based on the obtained relative importance, wherein the plurality of target intellectual property rights are determined at least in part based on the determined licensing fee limit and the licensing fee preset by the intellectual property rights holder.

[0041] Furthermore, during the search process, two or more candidate intellectual property rights can be searched for the elements of the target project and the combined technology, respectively. The method may further include: ranking the two or more candidate intellectual property rights searched for the elements of the target project and the combined technology, wherein the ranking of the candidate intellectual property rights is based on at least one of the following: the number of similar technology intellectual property rights held by the right holder of the corresponding intellectual property rights, the number of times the corresponding intellectual property rights have been cited, the existence or number of papers related to the corresponding intellectual property rights, or the existence or number of pre-defined licenses for the corresponding intellectual property rights.

[0042] Furthermore, the method for searching the target intellectual property to locate the target project may further include: generating a business package document, which includes information related to elements of the target project, combined technologies of the elements, intellectual property rights of the elements of the target project, and intellectual property rights of the combined technologies of the elements; and controlling the generated business package document to be traded on a business project trading platform.

[0043] Furthermore, the method for searching the target intellectual property to locate the target project may further include mapping the business package file onto a predetermined blockchain.

[0044] Furthermore, the blockchain can be a private blockchain accessible only to entities that purchase the business package documents.

[0045] Furthermore, the blockchain may contain contractual details related to transactions associated with the business package documents.

[0046] Furthermore, the signing of the contract may include: receiving electronic signatures from the rights holder of the target intellectual property and the party requesting implementation; and notarizing the signed contract.

[0047] According to the second embodiment, a computer program stored in a computer-readable recording medium can be configured to perform the steps described above.

[0048] According to the third embodiment, a computer-readable recording medium may store a computer program that can be configured to perform the steps described above.

[0049] The computer device according to the fourth embodiment may include: a memory storing at least one instruction; and a processor, wherein by executing the at least one instruction, the processor obtains a query term for a specified target project, and based on the query term, searches for a plurality of target intellectual property rights for at least one use in the research, development, and production of the target project, the plurality of target intellectual property rights including intellectual property rights relating to at least two elements of the target project, and intellectual property rights relating to a combination of the at least two elements for the implementation, operation, production, and application of the target project.

[0050] Furthermore, during the search for the multiple target intellectual property rights, patents that describe at least one of the elements or combinations of the elements of the target project in their claims can be searched as the target intellectual property rights.

[0051] Furthermore, by executing the at least one instruction by the processor, patents that describe additional elements not included in the target item in the claims, or that describe a combination of techniques different from the combination of the elements, can be selected; and during the search process of the plurality of target intellectual property rights, the plurality of target intellectual property rights are controlled to exclude the selected patents.

[0052] Furthermore, at least one of the additional elements and the different combined technologies can be determined based on the input of the party requesting the implementation of the target intellectual property.

[0053] Furthermore, patents that describe additional elements not included in the target project in their claims, or that describe combination technologies different from the combination technologies of the elements, can be selected. The selected patents can be presented as reference technologies in the research or development of the target project to the party requesting the implementation of the target intellectual property. When a search request for the reference technology is received from the party requesting the implementation, intellectual property that contains at least one of the additional elements or the different combination technologies can be searched.

[0054] Furthermore, by executing the at least one instruction by the processor, information on intellectual property rights that can be searched as the target intellectual property rights and intellectual property rights that should not be included in the search results can be obtained, wherein the plurality of target intellectual property rights are searched among the searchable intellectual property rights while avoiding the search among intellectual property rights that should not be included in the search results.

[0055] Furthermore, the query terms may include wording specifying performance improvements for the target project. During the search process, patents that contain at least one of the aforementioned wording or its semantic synonyms in the section describing the effects of the invention will be searched as the target intellectual property.

[0056] Furthermore, the query terms may include quantitative indicator terms representing the performance of the target project, and wherein, during the search process, patents whose performance of the target project, extracted from the portion describing the effects of the invention, meets the scope defined by the quantitative indicator terms, are searched as the target intellectual property.

[0057] Furthermore, during the search process, even if the performance of the target item extracted from the description of the invention's effects deviates from the range defined by the quantitative indicator wording, if the detailed description of the invention states that the performance of the target item should not be interpreted restrictively as the content described in the detailed description of the invention or the description of the invention's effects, then the patent can be searched as the target intellectual property.

[0058] Furthermore, the target intellectual property rights may include at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, or trade secrets.

[0059] Furthermore, during the search process, the language model that receives the query terms can search for and provide the multiple target intellectual property rights.

[0060] Furthermore, the language model can be trained by fine-tuning a pre-trained model based on at least one of the following: a paper, a published patent document, or a published utility model document.

[0061] Furthermore, during the fine-tuning process, reinforcement learning based on human feedback can be performed.

[0062] Furthermore, in the reinforcement learning process based on human feedback, a training process using a set of dialogues generated by humans, and a training process in which humans rank and select from multiple outputs generated by the language model, can be performed.

[0063] Furthermore, during the search process, the elements of the target project can be searched based on the query terms, the target intellectual property rights containing at least one of the searched elements can be searched, the technology for combining the elements can be used as the query terms to search for the combining technology, and the target intellectual property rights containing the searched combining technology can be searched.

[0064] Furthermore, by having the processor execute the at least one instruction, a contract reflecting the agreement between the right holder of the target intellectual property and the requesting party can be entered into, with the legal right to use the searched target intellectual property as the subject of the contract.

[0065] Furthermore, the contract may include a transfer agreement or licensing agreement for the target intellectual property rights found in the search.

[0066] Furthermore, the agreed matters may include at least one of the following: the transfer amount of the target intellectual property rights found, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the patent claims for which legal use rights are granted, or whether trade secrets (technical assistance) are provided.

[0067] Furthermore, the agreed-upon terms can be input by the rights holder of the target intellectual property.

[0068] Furthermore, based on statistics or artificial intelligence, at least one of the highest, lowest, or average amounts of the transfer amount or licensing fee can be provided as reference information to the rights holder of the target intellectual property.

[0069] Furthermore, by executing the at least one instruction by the processor, a mediator can be recommended through a pre-trained mediator recommendation model to mediate the needs between the right holder of the target intellectual property and the party requesting implementation, and the agreed matters are mediated by the mediator recommended by the mediator recommendation model.

[0070] Furthermore, the mediator recommendation model can recommend mediators based on at least one of the following: the mediation success rate of each mediator categorized by technical field, and the past agreement tendencies of the right holder of the target intellectual property and the party requesting enforcement.

[0071] Furthermore, by executing the at least one instruction by the processor, a pre-trained mediation scheme recommendation model can be used to recommend a mediation scheme for coordinating the needs between the right holder of the target intellectual property and the party requesting implementation, wherein the agreed matters include the mediation scheme recommended by the mediation scheme recommendation model.

[0072] Furthermore, the requested matters can be obtained from the right holder of the target intellectual property and the party requesting implementation, respectively, and a list of terms can be prepared to centrally record the obtained requested matters, and the list of terms can be provided to the right holder of the target intellectual property and the party requesting implementation, respectively.

[0073] Furthermore, in the term list, matters in the obtained request items that have been agreed upon by both parties and matters in which the parties have not reached an agreement can be distinguished and represented.

[0074] Furthermore, the content contained in the signed contract can be mapped onto a predetermined blockchain.

[0075] Furthermore, by executing the at least one instruction by the processor, information on the relative importance of each element of the target project and each of the combined technologies can be obtained; based on the obtained relative importance, a license fee limit for each element and each of the combined technologies is determined, wherein the plurality of target intellectual property rights are determined at least in part based on the determined license fee limit and a license fee preset by the intellectual property rights holder.

[0076] Furthermore, during the search process, two or more candidate intellectual property rights can be searched for the elements of the target project and the combined technology, respectively. The processor executes the at least one instruction to rank the two or more candidate intellectual property rights searched for the elements of the target project and the combined technology, respectively. The ranking of the candidate intellectual property rights is based on at least one of the following: the number of similar technology intellectual property rights held by the right holder of the corresponding intellectual property rights, the number of times the corresponding intellectual property rights have been cited, the existence or number of papers related to the corresponding intellectual property rights, or the existence or number of pre-defined licenses for the corresponding intellectual property rights.

[0077] Furthermore, a business package document can be generated, which includes information related to the elements of the target project, the combination technology of the elements, the intellectual property rights of the elements of the target project, and the intellectual property rights of the combination technology of the elements. The generated business package document can be controlled to make it traded on a business project trading platform.

[0078] Furthermore, the business package file can be mapped onto a predetermined blockchain.

[0079] Furthermore, the blockchain may be a private blockchain accessible only to entities that purchase the business package documents.

[0080] Furthermore, the blockchain may contain contractual content related to transactions involving the business package documents.

[0081] Furthermore, the signing of the contract may include: receiving electronic signatures from the rights holder of the target intellectual property and the party requesting implementation; and notarizing the signed contract.

[0082] Invention Effects According to one embodiment, the requesting party can easily search for intellectual property necessary for the research, development, production, sale, or leasing of a target project based on a query. Furthermore, even without the assistance of professionals such as lawyers or patent agents, the requesting party can easily enter into transfer or licensing agreements with the rights holders of the searched intellectual property.

[0083] Furthermore, intellectual property rights holders can attract more people to use their intellectual property, and in some cases, can gain additional revenue by allowing third parties to use intellectual property that the rights holder themselves have not used or do not intend to use. Therefore, this can attract more people to develop an interest in intellectual property and attempt to acquire rights, thereby expanding the market size of intellectual property transactions both quantitatively and qualitatively.

[0084] Furthermore, the results of the requester's search can be used as commercial projects with unique value, and since the implementation of such commercial projects may involve various types of people, it also has the effect of creating employment opportunities.

[0085] Furthermore, during intellectual property transactions, intellectual property rights holders can obtain information about the target project of the claimant. In some cases, the rights holder or a third party may develop an intention to invest in such a target project. In other words, from the claimant's perspective, not only can the legal right to use intellectual property be secured through computer equipment according to one embodiment, but investors can also be recruited for their target project. Attached Figure Description

[0086] Figure 1 Exemplary illustrations are shown of a computer device according to one embodiment and various entities connected to the computer device via a network.

[0087] Figure 2 A block diagram illustrating the configuration of a computer device according to one embodiment is shown as an example.

[0088] Figure 3 A conceptual illustration of an architecture for deep learning is presented.

[0089] Figure 4 The architecture for convolutional neural networks is conceptually illustrated.

[0090] Figure 5 An exemplary flowchart is shown of a language model training process for searching target intellectual property in a computer device, according to one embodiment.

[0091] Figure 6 A flowchart of a method for searching for target items in target intellectual property is shown as an example.

[0092] Figure 7An exemplary embodiment is shown of search results obtained in response to a query term for a target item in a computer device, according to one embodiment.

[0093] Figure 8 An exemplary flowchart is shown, illustrating a process for searching target item elements and combinations thereof according to an embodiment.

[0094] Figure 9 An exemplary embodiment is shown to determine whether a patent that includes additional elements not included in the target item elements, or that includes a combination of techniques different from the element combination techniques, is included in the search results.

[0095] Figure 10 An example is shown for targeting Figure 9 The flowchart shows the process performed when additional elements or different combinations of techniques are provided to the requester as reference techniques.

[0096] Figures 11 to 13 This conceptually illustrates which patents might be retrieved when the query terms contain wording about performance improvements of the target project.

[0097] Figure 14 An exemplary embodiment is shown of a contract concerning intellectual property rights entered into between an intellectual property rights holder and a party requesting implementation, via a computer device.

[0098] Figure 15 This conceptual illustration shows an example of what an intellectual property rights holder needs to input during the intellectual property contract signing process, according to one embodiment.

[0099] Figure 16 An exemplary list of terms that can be generated according to one embodiment is shown.

[0100] Figure 17 A conceptual illustration shows a set of information generated according to one embodiment for researching, developing, or producing a target item, which is stored on and protected on a blockchain. Detailed Implementation

[0101] The advantages and features of the present invention, as well as the methods of implementing them, will become clear from the following detailed description of the embodiments and with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be implemented in various different forms. These embodiments are provided only to ensure the completeness of the disclosure of the present invention and to fully inform those skilled in the art of the scope of the invention, which is defined only by the scope of the claims. In describing embodiments of the invention, detailed descriptions of known functions or structures should be omitted if they unnecessarily obscure the gist of the invention. Furthermore, the terms used below are defined according to their function in the embodiments of the invention and may vary depending on the intent or habit of the user or operator. Therefore, the definitions of these terms should be based on the entire contents of this specification.

[0102] Before describing the embodiments of the present invention, some terms will be described first.

[0103] The term "use" refers to acts such as research, development, production, use, transfer, rental, import, or provision for transfer or rental. This use is similar to the meaning of "implementation" in patent law.

[0104] Figure 1 Exemplary illustrations include a computer device 100 according to one embodiment and various entities 200 to 400 connected to the computer device 100 via a network 500. For example... Figure 1 As shown, computer device 100, intellectual property information providing server 200, intellectual property rights holder terminal 300, and enforcement request terminal 400 can communicate with each other via network 500. Here, Figure 1 The illustrations shown are merely illustrative, and the technical teachings of this invention should not be construed as limiting. Figure 1 The content shown.

[0105] Here, "Network 500" refers to either a wireless or wired network. In the case of a wireless network, it may include at least one of the following: LTE (Long Term Evolution), LTE-A (LTE-Advanced Long Term Evolution), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), UMTS (Universal Mobile Telecommunications System), WiBro (Wireless Broadband), WiFi (Wireless Fidelity), Bluetooth, NFC (Near Field Communication), and GNSS (Global Navigation Satellite System). In the case of a wired network, it may include at least one of the following: USB (Universal Serial Bus), HDMI (High Definition Multimedia Interface), RS-232 (Recommended Standard 232), LAN (Local Area Network), WAN (Wide Area Network), the Internet, and telephone networks.

[0106] An intellectual property information providing server 200 is a device installed for providing or disclosing intellectual property information. For example, such an intellectual property information providing server 200 may include servers for disclosing published patent gazettes, registered patent gazettes, etc. Furthermore, such an intellectual property information providing server 200 may also include servers for privately storing or managing proprietary technology (or trade secrets) of individuals, companies, etc., such as servers based on blockchain for storing proprietary technology.

[0107] The intellectual property information providing server 200 can provide various types of intellectual property-related information. For example, it can provide information on at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, or trade secrets.

[0108] The intellectual property information providing server 200 may provide, but is not limited to, the following types of information for each of the aforementioned types of intellectual property.

[0109] - Rights holder identity - Types of rights - Technical fields involved - Scope of protection sought - Term of protection of rights - Countries where the rights are in effect Intellectual Property Rights Holder Terminal 300 refers to a terminal for use by intellectual property rights holders 310, such as patent holders, utility model holders, trademark holders, design patent holders, copyright holders, or holders of trade secrets. Figure 1 As shown, such terminal 300 can be a computer, laptop, or a smartphone or smart tablet, but is not limited to these.

[0110] Through the intellectual property rights holder terminal 300, the intellectual property rights holder 310 can input the following types of information, which can be transmitted from the intellectual property rights holder terminal 300 to the computer device 100, but the types of information that can be input or transmitted are not limited to these.

[0111] - (If it is a transfer) Transfer amount (In the case of a licensing agreement) it should include at least one of the following: license fee, method of payment of the license fee, conditions for termination of the license, geographical scope of the license, areas of application for which the license is granted, or claims for which legal rights of use are granted. - Feasibility of technology secret transfer (technical assistance) Therefore, the intellectual property rights holder terminal 300 may be configured with a user interface for receiving predetermined information input by the intellectual property rights holder 310. In this case, according to one embodiment, the intellectual property rights holder terminal 300 may display guidance information to the intellectual property rights holder 310 through the aforementioned user interface—such as the highest, lowest, or average amount of transfer fees or licensing fees received from the computer device 100—for the intellectual property rights holder 310 to refer to when inputting the aforementioned information, which will be explained later.

[0112] It should be noted that the aforementioned "transfer of trade secrets" refers to the act of the intellectual property rights holder 310 delivering its trade secrets to the requesting party 410. Generally, transferring intellectual property rights such as registered patents or registered utility models to the requesting party 410, or granting a license to such intellectual property rights, means granting the requesting party 410 the legal right to use the intellectual property rights.

[0113] In this case, the aforementioned intellectual property transfer may not include the transfer of "trade secrets." First, because trade secrets are "confidential," they are not recorded in the aforementioned registered patent or utility model gazettes. However, according to the needs of the requesting party 410, the use of the project of interest may require not only the legal rights of the registered patent or utility model, but also the trade secrets not recorded in these gazettes.

[0114] In view of the foregoing, in one embodiment, the intellectual property rights holder 310 can determine whether to transfer its trade secrets to a third party such as the implementation requester 410. This determination can be transmitted from the intellectual property rights holder terminal 300 to the computer device 100. The implementation requester 410 can then identify, via the computer device 100, whether the relevant intellectual property rights it requires are accompanied by transferable trade secrets.

[0115] At the same time, intellectual property rights holders 310 can input more types of information through such intellectual property rights holder terminals 300, the details of which will be described later.

[0116] The implementing party terminal 400 refers to a terminal that can be used by the implementing party 410. Here, the implementing party 410 refers to the party wishing to implement the intellectual property rights owned by the intellectual property rights holder 310. For example... Figure 1 As shown, the terminal 400 of such implementation requesting party can be a computer, laptop, or a smartphone or smart tablet, but is not limited to these.

[0117] Through the implementation requester terminal 400, the implementation requester 410 can input various types of information, which can be transmitted to the computer device 100, but the types of information to be input or transmitted are not limited to these.

[0118] - Intention to transfer or request for license - (If it is an intention to transfer) Expected transfer payment amount - (If it is a licensing agreement) At least one of the following: expected license fee, expected method of payment, expected termination conditions, expected geographical scope, expected scope of application of the license, or expected number of claims. - Are you willing to receive a transfer of trade secrets (technical assistance)? To this end, the requesting party terminal 400 may be configured with a user interface for receiving predetermined information input by the requesting party 410. In one embodiment, the requesting party terminal 400 may provide a guide for the requesting party 410 to refer to when inputting the aforementioned information. Such a guide may include, for example, the type of information input by the intellectual property rights holder 310, the maximum, minimum, or average amount of the transfer amount or licensing fee aggregated by the computer device 100, etc.

[0119] Meanwhile, the requesting party 410 can input more different types of information through such a requesting party terminal 400, which will be detailed later.

[0120] According to one embodiment, the computer device 100 can be implemented via a server.

[0121] First, computer device 100 obtains the query terms input by requester 410 from requester terminal 400. Query terms here refer to words used to specify the target item. Furthermore, the target item can be a product or method (or process), but is not limited to these. Such target items refer to the objects on which requester 410 conducts activities such as research, development, production, sales, use, and leasing.

[0122] Computer Equipment 100 searches for target intellectual property rights used in at least one of the research, development, production, sale, use, or lease of the target project based on the obtained query terms. Artificial intelligence models, specifically language models, may be used during the search process, which will be explained later.

[0123] Such a search may yield one or more target intellectual property rights. Specifically, when multiple target intellectual property rights are found, these target intellectual property rights include intellectual property rights concerning the various elements of the target project, and / or intellectual property rights concerning the combining technology used to combine these elements.

[0124] Here, the elements of the target project refer to the elements that constitute the target project. For example, the elements that constitute an invention under the Patent Law can be examples of the elements of the target project mentioned above.

[0125] Furthermore, combination technology refers to techniques used to combine, mix, connect, link, or test elements to achieve the implementation, operation, production, or application of a target project. For example, when the elements are materials, this may include the mixing ratio or method of mixing these materials, the reaction method of these materials, and the method of analyzing the reaction results. Furthermore, when the elements are components, methods of assembling them together, the assembled final product itself or methods of testing the final product, methods of operating the assembled final product, methods of measuring the operational performance of the final product, and methods of improving the operational performance of the final product can all be examples of combination technology, but are not limited to these. According to one embodiment, such combination technology may be referred to as mixing technology, linking technology, connecting technology, testing technology, etc., but will be collectively referred to as combination technology below.

[0126] Furthermore, the aforementioned combined techniques can be classified as elements of the target project in certain circumstances. Additionally, the elements of the target project can also be classified as combined techniques.

[0127] According to one embodiment, computer device 100 facilitates the execution of a contract reflecting the agreement between intellectual property rights holder 310 and implementation requester 410, while setting the statutory right to use the target intellectual property rights found above as the subject of the contract.

[0128] Here, the aforementioned contracts may include, but are not limited to, assignment or licensing agreements concerning the target intellectual property rights identified above.

[0129] In addition, the aforementioned agreed matters may include at least one of the following: the transfer amount of the target intellectual property rights found above, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the claims for granting statutory use rights, or whether proprietary technology transfer (technical assistance) is provided, but not limited to these.

[0130] During the contract signing process via computer device 100, the intellectual property rights holder 310 and the party requesting implementation 410 can complete the signing of the agreed matters on the computer device 100, specifically through electronic signing. Furthermore, the signed contract can also be notarized on the computer device 100.

[0131] In the process of signing such contracts, according to one embodiment, a term sheet can be generated and provided to the intellectual property rights holder 310 and the party requesting implementation 410 respectively, the details of which will be described in detail later.

[0132] It is worth noting that during the aforementioned contract signing process, an agreement must be reached between the intellectual property rights holder 310 and the party requesting implementation 410. However, due to conflicts of interest between the two parties, such an agreement may not be successfully reached. Therefore, in one embodiment, the computer device 100 can provide a solution to mediate the dispute between the two parties, the details of which will be described later.

[0133] As described above, according to one embodiment, the requesting party can easily search for intellectual property rights needed for the research, development, production, sale, or leasing of a target project based on query terms. Furthermore, even without the assistance of professionals such as lawyers or patent agents, the requesting party can easily enter into assignment or licensing agreements with the rights holders of the searched intellectual property rights.

[0134] On the other hand, intellectual property rights holders can attract more people to use their intellectual property, and in some cases, they can even generate additional revenue by allowing third parties to use their unused or unplanned intellectual property. This can drive more people to develop an interest in intellectual property and seek patent acquisition, thereby expanding the market size of intellectual property transactions both quantitatively and qualitatively.

[0135] Furthermore, the results of the requester's search can be used as commercial projects with unique value, and since the implementation of such commercial projects may involve various types of people, it also has the effect of creating employment opportunities.

[0136] Furthermore, during intellectual property transactions, intellectual property rights holders can obtain information related to the target project targeted by the claimant, and under certain circumstances, the intellectual property rights holder or a third party may intend to invest in such a target project. In other words, according to one embodiment, from the claimant's perspective, not only can the legal right to use the intellectual property be ensured, but investors can also be recruited for their target project through the server.

[0137] The computer device 100 will be described in more detail below.

[0138] Figure 2 This is an exemplary configuration diagram of a computer device 100 according to one embodiment. (Refer to...) Figure 2 The computer device 100 includes a communication unit 110, a memory 120, and a processor 130. However, Figure 2 The configuration diagrams shown are merely illustrative, and the technical teachings of this invention should not be construed as limiting. Figure 2 The configuration diagram shown. For example, computer device 100 may include... Figure 2 At least one configuration not shown, or may not be included. Figure 2 At least one configuration shown in the diagram.

[0139] The communication unit 110 can be implemented via a wired or wireless communication module. The computer device 100 can communicate with external terminals or servers via this communication unit 110, for example... Figure 1 The reference numerals 200, 300, or 400 are shown in the figures.

[0140] The memory 120 may be implemented using an information storage medium. Such media may include, but are not limited to, at least one of flash memory, hard disk, multimedia microcard, card memory (e.g., SD or XD memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk.

[0141] Various types of information can be stored in this type of memory 120. For example, information obtained by computer device 100 from external entities 200, 300, and 400 via communication unit 110 can be stored in memory 120.

[0142] Specifically, the intellectual property information disclosed by the intellectual property information providing server 200 can be stored in the memory 120. For storage, the computer device 100 can retrieve the disclosed information from the intellectual property information providing server 200, but is not limited to this. Furthermore, such intellectual property information can be stored in the memory 120 in its original form, or in some cases, it can be stored after preprocessing. Preprocessing may include the following: if the disclosed intellectual property information is a registered patent gazette, summarizing all the contents described in the registered patent gazette, or summarizing the claims, inventive effects, detailed description, and drawings separately. Of course, the type of preprocessing is not limited to this; obviously, various processing types applicable to document storage and retrieval can be included in this type of preprocessing.

[0143] Furthermore, the memory 120 can store various types of information obtained from the intellectual property holder terminal 300. Specifically, the memory 120 can store information input to the intellectual property holder terminal 300 by the intellectual property holder 310 as described above. Specifically, the memory 120 can store information about intellectual property rights that are allowed to be searched as target intellectual property rights, as well as information about intellectual property rights that should not be included in the search results as target intellectual property rights, all of which come from the intellectual property databases of each intellectual property rights holder 310.

[0144] Furthermore, the memory 120 can store various types of information obtained from the requesting party terminal 400. Specifically, the memory 120 can store information input by the intellectual property holder 310 to the intellectual property holder terminal 300 as described above.

[0145] Meanwhile, the memory 120 can store information about the various elements of the target project, element combination technology, intellectual property rights related to the elements of the target project, and intellectual property rights related to the element combination technology. In this case, according to one embodiment, this information can be packaged into a single business package file.

[0146] In addition, the memory 120 may store electronic documents of the contract content (e.g., contract documents) signed between the intellectual property rights holder 310 and the implementation requester 410. According to one embodiment, the terms list that forms the basis of such contract content may also be stored in electronic document form.

[0147] In this case, according to one embodiment, some of the information described above as stored in memory 120 can also be stored in the blockchain. Therefore, the system constituting the blockchain can be connected to... Figure 1 The computer device 100 shown is connected or configured to include the computer device 100, but the blockchain is not in... Figure 1 As shown in the image. The information stored in the blockchain will be detailed later.

[0148] Meanwhile, various types of modules or models can be implemented in the memory (120). When such modules or models are executed by the processor 130 described below, the intended functions can be achieved. For example, such modules or models may include a language model for searching target intellectual property, a module for creating a term sheet, a module for entering into a contract, a mediation recommendation module for recommending mediation solutions for matters where no agreement has been reached between the intellectual property rights holder 310 and the implementing party 410, or a mediator recommendation module for recommending mediators.

[0149] At least one of the above modules or models can be implemented based on rules or artificial intelligence networks. The following section will discuss artificial intelligence networks and related topics.

[0150] In this specification, "model" or "module" can refer to any form of computer program that operates based on network functions, artificial neural networks, and / or neural networks. In this specification, the terms "model," "neural network," "network function," and "neural network" are used interchangeably. A neural network consists of one or more nodes interconnected by one or more links, forming the input-output node relationship within the neural network. The characteristics of a neural network can be determined by the number of nodes and links, the correlation between nodes and links, and the weight values ​​assigned to each link. A neural network can be configured with a set of one or more nodes. A subset of nodes constituting a neural network can form a layer.

[0151] Deep neural networks (DNNs) can refer to neural networks that include multiple hidden layers in addition to input and output layers, such as... Figure 3As shown, the intermediate hidden layers in a deep neural network are configured as one or more, preferably two or more.

[0152] Such deep neural networks may include, but are not limited to, convolutional neural networks (CNN), visual transformers, recurrent neural networks (RNN), long short-term memory networks (LSTM), generative pre-trained transformers (GPT), autoencoders, generative adversarial networks (GAN), restricted Boltzmann machines (RBM), deep belief networks (DBN), Q networks, U networks, conjoined networks, transformers, etc.

[0153] Alternatively, according to an embodiment, the deep neural network can be a model trained using transfer learning. Here, transfer learning refers to a learning method in which a pre-trained model (or base part) with a first task is obtained by pre-training on a large amount of unlabeled training data through semi-supervised or self-learning methods, and then the pre-trained model is fine-tuned by training labeled training data through supervised learning methods to adapt it to a second task, thereby achieving the target model. One type of model trained using transfer learning is a bidirectional encoder representation (BERT) from a transformer or a similar model, but it is not limited to this.

[0154] In particular, in one embodiment of the search, an artificial intelligence model, specifically a language model, can be used, which will be described later.

[0155] The above description of deep neural networks is merely illustrative, and this disclosure is not limited thereto. Here, we will use... Figure 4 Taking the convolutional neural network shown as an example, it includes a feature extraction part (feature learning) that extracts features from an image, and a classification part (classification) that uses the extracted features for classification. The feature extraction part may include, but is not limited to, convolutional layers that use kernels to extract features from the image, ReLU layers as one of the activation functions, and pooling layers for reducing data dimensionality. In addition, the classification part may include, but is not limited to, flattening layers that linearly arrange the features extracted by the feature extraction part, fully connected layers that actually perform classification, and a softmax function.

[0156] Neural networks can be trained using at least one of the following methods: supervised learning, unsupervised learning, semi-supervised learning, self-supervised learning, and reinforcement learning. Training a neural network can be viewed as the process of endowing it with knowledge of performing specific operations.

[0157] The training objective of a neural network is to minimize the output error. Training a neural network is a process of repeatedly feeding training data into the network. This process calculates the error between the network's output and the target value, and propagates this error back from the output layer to the input layer to update the weights of each node, thereby reducing the error. In supervised learning, labeled data with correct answers can be used for each training data point; in unsupervised learning, unlabeled data without correct answers can be used. The amount of change in the update of the connection weights of each node can be determined by the learning rate. The computation of the input data and the backpropagation of the error constitute a learning epoch. The learning rate can be differentiated depending on the number of repetitions of the learning epoch. Furthermore, to prevent overfitting, methods such as increasing the training data, regularization, disabling some nodes, and batch normalization layers can be used.

[0158] Meanwhile, the model disclosed in one embodiment may draw upon at least a portion of the transducer's structure. The transducer may consist of an encoder that encodes embedded data and a decoder that decodes the encoded data. The transducer may employ a structure capable of receiving a series of data and outputting another type of data sequence through encoding and decoding steps. In one embodiment, the data sequence may be processed into a form computable by the transducer. The process of processing a series of data into a transducer-computable form may include an embedding process. Representations such as data tags, embedding vectors, and embedding labels may refer to data embedded in a transducer-computable form.

[0159] To enable the transformer to encode and decode a series of data, the encoder and decoder can process the data using an attention algorithm. An attention algorithm might refer to an algorithm that, for a given query term, finds the similarity of one or more keys, assigns the given similarity to a value corresponding to each key, and then performs a weighted sum of the similarity values ​​to calculate an attention value.

[0160] Based on how the query, key, and value are set, various attention algorithms can be categorized. For example, if attention is obtained by setting the query, key, and value to the same value, it can be called a self-attention algorithm. If attention is obtained by reducing the dimensionality of the embedding vectors to process a series of input data in parallel, and then obtaining a separate attention head for each segment of the embedding vector, it can be called a multi-head attention algorithm.

[0161] In one embodiment, the transformer can be configured by modules that execute multiple multi-head self-attention algorithms or multi-head encoder-decoder algorithms. In one embodiment, the transformer may include other additional elements besides attention algorithms, such as embedding, normalization, softmax, etc. Methods for constructing a Transformer using attention algorithms can be found in the method disclosed by Vaswani et al. in "Attention Is All You Need" (2017 NIPS), which is incorporated herein by reference.

[0162] Transformers can be applied to various data domains, such as embedded natural language, segmented image data, and audio waveforms, and can transform a series of input data into a series of output data. To convert data from various data domains into a series of data that can be input into the transformer, the transformer can embed data. The transformer can process additional data expressing the relative positional or topological relationships between input data sequences. Alternatively, vectors expressing the relative positional or topological relationships between input data sequences can be further reflected in the input data sequences, thereby embedding the input data sequences. In one example, the relative positional relationships between input data sequences may include word order in a natural language sentence, the relative positional relationships between segmented images, and the temporal order of segmented audio waveforms, but are not limited to these. The process of adding information expressing the relative positional or topological relationships between input data sequences can be called positional encoding.

[0163] review Figure 2 The processor 130 will now be described. First, according to one embodiment, the processor 130 can implement the technical features described below according to embodiments of the present disclosure by executing at least one instruction stored in the memory 120. In one embodiment, the processor 130 may be configured with at least one core and may include a processor for data analysis and / or processing, such as a central processing unit (CPU), general-purpose graphics processing unit (GPGPU), tensor processing unit (TPU), etc. of the computer device 100.

[0164] The processor 130 can train neural networks or models designed using machine learning or deep learning methods. To this end, the processor 130 can perform the computations required to train the neural network, such as processing the input data used for training, extracting features from the input data, calculating errors, and updating the weights of the neural network using backpropagation.

[0165] Furthermore, the processor 130 can perform reasoning for a predetermined purpose using a model implemented using an artificial neural network.

[0166] The processor 130 will execute at least one instruction stored in the memory 120 to describe various operations and functions that the computer device 100 can perform.

[0167] First, the processor 130 can control the communication unit 110. In this way, the computer device 100 can communicate with... Figure 1 The various entities 200, 300, and 400 shown communicate with each other to obtain information.

[0168] Furthermore, the processor 130 can read the aforementioned data or instructions stored in the memory 120, and can record new data or instructions in the memory 120. Additionally, the processor 130 can modify or delete recorded data or instructions. This will be explained in more detail below.

[0169] By executing at least one instruction stored in memory 120 through processor 130, computer device 100 obtains the query terms input by requester 410 from requester terminal 400. The query terms here refer to words used to specify a target item. Furthermore, the target item can be a product or method (or process), but is not limited to these. Such target items refer to objects that requester 410 conducts activities such as research, development, production, sales, use, and leasing.

[0170] In addition, by executing at least one instruction stored in memory 120 by processor 130, computer device 100 searches for the target intellectual property rights used in at least one of the research, development, production, sale, use or lease of the target project based on the acquired query terms.

[0171] The search process begins by searching for the elements of the target project. Next, the intellectual property rights corresponding to each element are searched. Furthermore, the combination techniques used to combine the elements are searched. Subsequently, the intellectual property rights corresponding to the retrieved combination techniques are searched. Of course, the search process is not limited to the above order, and embodiments of the present invention may include other alternatives.

[0172] Meanwhile, during the aforementioned search process, artificial intelligence models, particularly language models, may be used. A language model refers to a model generated based on human language. Such language models can be obtained in various ways. In one embodiment, a language model can be obtained through transfer learning. In transfer learning, as previously described, a large amount of unlabeled training data (e.g., a corpus) is pre-trained using semi-supervised or self-learning methods to obtain a pre-trained model (or base unit) with a first task. Subsequently, a process of fine-tuning the pre-trained model to adapt it to a second task is performed. During this fine-tuning process, labeled training data is used for training via supervised learning methods. In one embodiment, one of the models trained using transfer learning methods may be a bidirectional encoder representation from a transformer (BERT), a generative pre-trained transformer (GPT), etc., but is not limited to these.

[0173] Here, according to one implementation, such a language model might be chatGPT based on GPT-3 or GPT-4. Specifically, GPT-3 is the third-generation language prediction model in the GPT-n series created by a company called OpenAI. GPT-3 has 175 billion parameter configurations, more than twice the size of its predecessor, GPT-2, released in May 2020. It is part of a pre-trained natural language processing (NLP) system.

[0174] It is understood that GPT-3 can perform tasks including solving various language-related problems, random writing, arithmetic operations, translation, simple web page encoding based on given sentences, and dialogue.

[0175] In one embodiment of the language model, the language model may be pre-trained using a common language, or as... Figure 5 As shown, pre-training can be performed based on at least one of the following: academic papers, patent publications, or utility model publications (S200). This enables more professional intellectual property retrieval. This is because when pre-trained based on academic papers, patent publications, or utility model publications using masked language modeling (MLM) or next-sentence prediction (NSP) methods, such pre-trained models can master the language system of intellectual property documents.

[0176] Furthermore, reinforcement learning based on human feedback (RLHF) can be employed during the fine-tuning of such language models. RLHF refers to a method that utilizes human judgment information for model learning during the fine-tuning process. For example, in the RLHF fine-tuning process, either a training process using human-generated dialogue sets or a process using the ranking of multiple outputs generated by humans for the language model can be executed. More specifically, a supervised fine-tuning model (SFT) is first generated using the human-generated dialogue set (S210). Then, the ranking of the output results of this SFT model is fed back to the model (reward model, RM) (S220), followed by fine-tuning through proximal policy optimization (PPO) (S230). Here, fine-tuning through PPO refers to a reinforcement learning policy algorithm that continuously adjusts the current policy based on the task performed by the agent and the reward obtained. In this PPO, the process follows the order of new prompt -> PPO -> output generation -> reward calculation, and the calculated reward is updated and fed back to the new prompt.

[0177] Simultaneously, by executing at least one instruction stored in memory 120 through processor 130, the computer device 100 can search for one or more target intellectual property rights. Specifically, when multiple target intellectual property rights are found, these target intellectual property rights include intellectual property rights concerning various elements of the target item, and / or intellectual property rights concerning the combining technology used to combine these elements.

[0178] In addition, the computer device 100 executes at least one instruction stored in the memory 120 through the processor 130, thereby signing an agreement reflecting the agreement between the intellectual property rights holder 310 and the implementation requester 410, with the right to use the aforementioned target intellectual property as the subject of the contract.

[0179] Here, the aforementioned contracts may include, but are not limited to, assignment or licensing agreements concerning the target intellectual property rights identified above.

[0180] In addition, the aforementioned agreed matters may include at least one of the following: the transfer amount of the target intellectual property rights found above, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the claims for granting statutory use rights, or whether proprietary technology transfer (technical assistance) is provided, but not limited to these.

[0181] During the contract signing process via computer device 100, the intellectual property rights holder 310 and the party requesting implementation 410 can complete the signing of the agreed matters on the computer device 100, specifically through electronic signing. Furthermore, the signed contract can also be notarized on the computer device 100.

[0182] In the process of signing such contracts, according to one embodiment, a term sheet can be generated and provided to the intellectual property rights holder 310 and the party requesting implementation 410 respectively, the details of which will be described in detail later.

[0183] It is worth noting that during the aforementioned contract signing process, an agreement must be reached between the intellectual property rights holder 310 and the requesting party 410. However, due to conflicts of interest between the two parties, an agreement may not be successfully reached. Therefore, in one embodiment, the computer device 100 can provide a solution to mediate the agreement between the two parties, the details of which will be described later.

[0184] The following describes a method for searching for target intellectual property against a target item, performed by such a computer device 100, according to one embodiment.

[0185] Figure 6 A flowchart of a method for searching for target items in target intellectual property is illustrated, according to one embodiment. This flowchart is merely exemplary, and the scope of the invention is not limited thereto. For example, according to one embodiment, the execution order of each step may be... Figure 6 The results may differ, and at least one additional operation may be performed. Figure 6 Steps not shown, or at least one Figure 6 The steps shown can be omitted.

[0186] refer to Figure 6 Execute the step of retrieving the query terms for the specified target item (S1000).

[0187] Furthermore, based on the query term, step S1100 is performed to search for multiple target intellectual property rights for at least one use in the research, development, or production of the target project. In this case, the multiple target intellectual property rights include intellectual property rights for at least two elements of the target project, and / or intellectual property rights for combined technologies used to achieve the implementation, operation, production, or application of the target project. In addition, although not in Figure 6 The document shows, but also includes the following steps: using the legal right to use the target intellectual property as the subject of the contract, a contract is signed reflecting the agreement between the right holder of the target intellectual property and the party requesting implementation.

[0188] As described above, according to one embodiment, the requesting party can easily search for intellectual property rights needed for the research, development, production, sale, or leasing of a target project based on query terms. Furthermore, even without the assistance of professionals such as lawyers or patent agents, the requesting party can easily enter into assignment or licensing agreements with the rights holders of the searched intellectual property rights.

[0189] On the other hand, intellectual property rights holders can attract more people to use their intellectual property, and in some cases, they can even generate additional revenue by allowing third parties to use their unused or unplanned intellectual property. This can drive more people to develop an interest in intellectual property and seek patent acquisition, thereby expanding the market size of intellectual property transactions both quantitatively and qualitatively.

[0190] Furthermore, the results of the requester's search can be used as commercial projects with unique value, and since the implementation of such commercial projects may involve various types of people, it also has the effect of creating employment opportunities.

[0191] Furthermore, during intellectual property transactions, intellectual property rights holders can obtain information related to the target project targeted by the claimant, and under certain circumstances, the intellectual property rights holder or a third party may intend to invest in such a target project. In other words, according to one embodiment, from the claimant's perspective, not only can the legal right to use the intellectual property be ensured, but investors can also be recruited for their target project through the server.

[0192] The following description, based on an embodiment, describes a task related to the signing of an intellectual property contract performed in a computer device 100. However, this is merely exemplary and the technical teachings of the present invention should not be construed as limiting thereto.

[0193] Figure 7 An exemplary illustration shows search results obtained in response to a query for a target item in a computer device, according to one embodiment. References Figure 7 The query terms of the requesting party 410 are transmitted to computer device 100. These query terms refer to words used to specify a target item. Furthermore, the target item can be a product or method (or process), but is not limited to these. Such target items refer to the objects on which the requesting party 410 conducts activities such as research, development, production, sales, use, and leasing.

[0194] Subsequently, the computer device 100 searches for the target intellectual property rights used in at least one of the research, development, production, sale, use, or lease of the target project based on the acquired query terms, and transmits the results to the terminal 400 of the implementing requester 410.

[0195] In this situation, the search process can be carried out in several ways. One such method is... Figure 8 As shown in the image.

[0196] refer to Figure 8 Based on the query terms of the requesting party 410, the step of searching for target item elements is performed (S1110). The search can be conducted using a language model to determine whether the target item contains a specific element, but is not limited to this.

[0197] Furthermore, a search is performed for combination techniques used to combine the retrieved elements (S1111). Such combination techniques can also be searched using a language model. During the search process, for example, if a query term such as "combination techniques for combining 'previously searched elements' for the implementation, operation, production, or application of a target product" is input as a result into the language model, the combination technique can be searched. In this case, the step S1111 of searching for such combination techniques can be performed by the requesting party 410, or, according to one embodiment, by the processor 130.

[0198] Then, intellectual property rights can be searched for each element or combination of technologies found in this search.

[0199] Meanwhile, the target intellectual property as a search result may include patents or utility models. Specifically, the target intellectual property can be a patent or utility model that describes at least one element of the target item or a combination of these elements in its claims. One reason a requesting party receives an intellectual property assignment or is granted a license from an intellectual property rights holder is to avoid infringing that intellectual property rights holder's intellectual property rights. Here, "infringement" refers to the implementation of an element of the target item or a combination of the corresponding intellectual property, when the corresponding intellectual property is a patent or utility model, encompassing all elements described in the claims of the corresponding patent or utility model. Therefore, the target intellectual property to be searched may also include patents or utility models that describe at least one element of the target item or combination of the technology in their claims. This is in... Figure 9 Examples are provided. (See reference.) Figure 9 In patents 1 to 3, patents 1 and 2, whose claims contain elements A and B of the target item or the combination technology C, can be searched as target intellectual property. However, patent 3 contains claim D, which is neither an element of the target item nor a combination technology, and therefore cannot be searched as target intellectual property.

[0200] Here, according to one embodiment, the following steps may also be performed: selecting a patent such as the aforementioned Patent 3, i.e., a patent or utility model that describes additional elements not included in the target item in its claims, or describes a combination of technologies different from the combination of elements. Patents selected in this manner can be controlled to prevent them from being retrieved as target intellectual property. This is because the rights of the intellectual property rights holder 310 will not be infringed even if the requesting party 410 practices such a selected patent or utility model. In this case, it can be determined whether it is an additional element or a different combination of technologies by the input of the requesting party (410).

[0201] However, in certain circumstances, such selected patents can serve as reference technology for implementing the requester 410. This is because the requester 410 can gain inspiration from such selected patents regarding technical aspects that it had not previously considered. See below. Figure 10 This needs to be explained.

[0202] refer to Figure 10 Step S1112 can also be performed: select a patent that describes additional elements not included in the target item in the claims, or describes a combination technology different from the element combination technology.

[0203] In addition, step S1113 can be performed: presenting the selected patent as a reference technology in the research or development process of the target project to the requesting party.

[0204] In addition, when a request for the implementation of the reference technology is received, step S1114 may be performed: search for intellectual property rights containing at least one of the additional elements or different combinations of technologies.

[0205] In other words, according to Figure 10 The requester (410) may be provided with information about intellectual property rights that are not typically included in the target project but may be used as references.

[0206] At the same time, some intellectual property rights holders 310 may not want their intellectual property rights to be searchable. This applies to intellectual property rights holders 310 who do not wish to transfer or license their intellectual property rights. Alternatively, when an intellectual property rights holder 310 holds multiple intellectual property rights, the holder may only intend to transfer or license a portion of them.

[0207] Accordingly, in one embodiment, a step may be performed to obtain information on intellectual property rights that may be included in the search results or should not be included in the search results from the intellectual property rights holder 310. In this case, multiple target intellectual property rights can be searched as search results among the intellectual property rights that are allowed to be included.

[0208] Furthermore, the aforementioned query can include wording that specifies performance improvements for the target item. For example, wording such as "improved amplification efficiency," "enhanced sensitivity or specificity," or "improved communication efficiency" can be included in the query terms along with wording specifying the target item.

[0209] In this case, during the search step, patents or utility models that include such wording and at least one semantic synonym in the description of the invention's effects can be searched as target intellectual property. This is in Figure 11 Examples are provided. (See reference.) Figure 11Patent 1 or Patent 2, which contains the phrase "performance improvement" or "semantic synonym of performance improvement" in the section on the effects of the invention, can be searched as target intellectual property.

[0210] Alternatively, the aforementioned query terms may include quantitative metrics describing the performance of the target item. For example, terms such as "improves amplification efficiency by 10%", "increases sensitivity by 20%", or "enhances communication efficiency by 50%" may be included in the query along with the terms specifying the target item.

[0211] In this case, during the search step, patents or utility models that meet the scope defined by the quantitative performance indicators of the target project can be extracted from the section describing the invention's effects and searched as target intellectual property. This process is exemplarily shown in [example shown]. Figure 12 In this case, whether to extract information about the performance of the target project from the effects of the invention, and whether the extracted performance meets the scope defined by the quantitative indicator wording, can be determined by the aforementioned language model.

[0212] In this case, according to this embodiment, patents or utility models whose target performance extracted from the section describing the effects of the invention exceeds the scope of quantitative indicator wording can also be searched as target intellectual property. For example, when a patent or utility model states in its detailed description that the target performance should not be interpreted restrictively as the content described in the detailed description or effects of the invention, the patent or utility model may be the intellectual property required by the claimant 410. This situation is exemplarily shown in... Figure 13 Therefore, in one embodiment, when the intellectual property is a patent or utility model, the performance of the target item can be determined based on the content of the section describing the detailed description of the invention, to determine whether the performance is not limited to the detailed description of the invention or the effects of the invention.

[0213] at the same time, Figure 14 An exemplary embodiment illustrates a contract between an intellectual property rights holder and a party requesting enforcement, entered into via computer equipment regarding intellectual property rights. (Reference) Figure 14 , Figure 14 An exemplary list of intellectual property rights licensed by country is shown in the contract. That is, according to one embodiment, a contract is entered into between the intellectual property rights holder 310 and the implementation requester 410 via computer device 100, and the contract is created in the form of an electronic document. This contract signing stage may include at least one of the following steps: receiving electronic signatures from each target intellectual property rights holder and the implementation requester, respectively; and receiving notarization of the signed contract.

[0214] In addition, the aforementioned contracts may include, but are not limited to, transfer agreements or licensing agreements concerning the target intellectual property rights found above.

[0215] In addition, the aforementioned agreed-upon matters may include at least one of the following: the transfer amount of the target intellectual property rights found in the search, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the claims for granting statutory use rights, or whether proprietary technology transfer (technical assistance) is provided, but are not limited to these. Examples of such agreed-upon matters are as follows: Figure 15 As shown.

[0216] In one embodiment, according to an example of such a contract signing process, a term sheet can be generated and provided to each intellectual property rights holder 310 and the claimant 410 respectively. The term sheet is a document that records the terms required by the parties to the contract, an example of which is... Figure 16 As shown. To this end, the steps include obtaining the requested items from both the rights holder and the party requesting implementation of the target intellectual property, and generating a list of terms centrally recording the obtained requested items and providing it to both the rights holder and the party requesting implementation of the target intellectual property. In this list, items for which consensus has been reached and items for which consensus has not been reached can be clearly marked from the requested items obtained by both parties. Therefore, the contracting parties can quickly and accurately identify the parts requiring coordination of their opinions through such a list of terms.

[0217] It is worth noting that during the aforementioned contract signing process, an agreement must be reached between the intellectual property rights holder 310 and the requesting party 410. However, due to conflicting interests between the two parties, an agreement may not be successfully reached. Accordingly, in one embodiment, computer device 100 can provide a solution to coordinate the agreement between the two parties.

[0218] For example, computer device 100 can provide a mediator recommendation model trained on the aforementioned artificial intelligence network. This mediator recommendation model is pre-trained to recommend mediators (consolidators) for mediating matters concerning the needs between the rights holder of the target intellectual property and the party requesting enforcement. Therefore, the agreed-upon matters to be included in the contract can be derived from the mediators recommended by such a mediator recommendation model.

[0219] Here, the mediator recommendation model can be trained using a supervised learning method. The training data may include at least one of the following: each mediator's major, each mediator's mediation success rate in each technical field, and the past agreement tendencies between each target intellectual property rights holder and the claimant.

[0220] Alternatively, computer device 100 may provide a mediation scheme recommendation model trained on the aforementioned artificial intelligence network. This mediation scheme recommendation model is pre-trained to recommend mediation schemes for matters concerning the needs between the rights holder of the target intellectual property and the party requesting enforcement. Therefore, the agreed-upon matters to be included in the contract may include the mediation schemes recommended by this mediation scheme recommendation model.

[0221] Here, the mediation proposal recommendation model can be trained using a supervised learning method. Training data may include, but is not limited to, information about disagreements and the resulting mediation proposals.

[0222] Meanwhile, according to one embodiment, various information generated by computer device 100 can be stored in a blockchain. Due to its characteristics, blockchain is not easily forged or tampered with. Furthermore, private blockchains often exhibit excellent security. Therefore, according to one embodiment, contract-related content reached by computer device 100 can be reflected in a predetermined blockchain. Alternatively, when generating the aforementioned business package file—that is, a business package file containing information on various elements of the target project, element combination technology, intellectual property rights for the elements of the target project, and intellectual property rights information for the element combination technology—such a business package file can also be reflected in the blockchain. Figure 17 The example illustrates a scenario where the aforementioned content is reflected in the blockchain. Such business package documents can be traded on a predetermined business item trading platform. According to one embodiment, computer device 100 can not only control such business package documents to be traded on the aforementioned business item trading platform, but also, in this case, the contract content related to the business package document transaction can be reflected in the blockchain.

[0223] Meanwhile, according to one embodiment, during the process of the requesting party 410 and the intellectual property rights holder 310 entering into a contract via computer device 100, it is necessary to determine the licensing fee for the intellectual property. To this end, firstly, as described above, the intellectual property rights holder 310 can use its terminal 300 to input its desired licensing fee. Furthermore, as previously mentioned, during this process, the computer device 100 can provide the intellectual property rights holder 310 with at least one of the maximum, minimum, or average values ​​of the transfer amount or licensing fee as reference information based on statistics or artificial intelligence.

[0224] Simultaneously, the requesting party 410 may need to have legal rights to use at least two intellectual property rights to use the target project, in which case it may be necessary to obtain a license for each intellectual property right separately. In this case, the importance of these elements or combined technologies of the target project may be relative, depending on the characteristics of the requesting party's target project. Therefore, in one embodiment, the license fee limit can be determined based on the relative importance of each element or combined technology in the target project. Furthermore, the license fee for each intellectual property right can be determined at least in part based on the license fee limit thus determined, for example, to not exceed the license fee limit.

[0225] Specifically, firstly, the relative importance of each element or combination of technologies can be ranked using various methods. For example, the ranking of each element or combination of technologies can be based on at least one of the following: the number of intellectual property rights held by the corresponding intellectual property rights holder for similar technologies, the number of citations of the corresponding intellectual property rights, the existence or number of papers related to the corresponding intellectual property rights, or the existence or number of pre-existing licenses for the corresponding intellectual property rights. Ranking methods can be diverse, including rule-based methods, but are not limited to these.

[0226] Furthermore, once the ranking is completed in this manner, the licensing fee cap can be determined proportionally based on the ranking order. Additionally, the licensing fee for each element or combination of technologies can be determined based on this cap.

[0227] As described above, according to one embodiment, the requesting party can easily search for intellectual property rights needed for the research, development, production, sale, or leasing of a target project based on query terms. Furthermore, even without the assistance of professionals such as lawyers or patent agents, the requesting party can easily enter into assignment or licensing agreements with the rights holders of the searched intellectual property rights.

[0228] On the other hand, intellectual property rights holders can attract more people to use their intellectual property, and in some cases, they can even generate additional revenue by allowing third parties to use their unused or unplanned intellectual property. This can drive more people to develop an interest in intellectual property and seek patent acquisition, thereby expanding the market size of intellectual property transactions both quantitatively and qualitatively.

[0229] Furthermore, the results of the requester's search can be used as commercial projects with unique value, and since the implementation of such commercial projects may involve various types of people, it also has the effect of creating employment opportunities.

[0230] Furthermore, during intellectual property transactions, intellectual property rights holders can obtain information related to the target project targeted by the claimant, and under certain circumstances, the intellectual property rights holder or a third party may intend to invest in such a target project. In other words, according to one embodiment, from the claimant's perspective, not only can the legal right to use the intellectual property be ensured, but investors can also be recruited for their target project through the server.

[0231] Meanwhile, the methods of the various embodiments described above can be implemented in the form of a computer program stored in a computer-readable recording medium, which is programmed to perform each step of such a method, and can also be implemented in the form of a computer-readable recording medium storing a computer program programmed to perform each step of such a method.

[0232] The above description is merely an exemplary illustration of the technical solutions of the present invention. Those skilled in the art can make various modifications and variations without departing from the original features of the present invention. Therefore, the embodiments disclosed in this invention are not intended to limit the technical solutions of the present invention, but rather to describe them, and the scope of the technical solutions of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted based on the following claims, and it should be understood that all technical solutions included within the equivalent scope fall within the scope of protection of the present invention.

Claims

1. A method for searching target intellectual property to locate target items, the method being performed by a computer device, comprising: Retrieve the query terms for the specified target item; as well as Based on the query terms, search for multiple target intellectual property rights for at least one purpose in the research, development, and production of the target project. The plurality of target intellectual property rights include intellectual property rights for at least two elements of the target project, and intellectual property rights for the combined technology of the at least two elements used in the implementation, operation, production and application of the target project.

2. The method for searching the target intellectual property to locate the target project according to claim 1, wherein the search includes: Search for the elements of the target project based on the query terms; The search record contains at least one of the target intellectual property rights of the searched elements; The technique used to combine the elements is used as the query term to search for the combining technique; and The search document contains information on the target intellectual property rights related to the combined technologies found.

3. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, During the search process, patents that describe at least one of the elements or combinations of the elements of the target project in their claims will be searched as the target intellectual property.

4. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: Patents that specify additional elements not included in the target item in their claims, or that specify a combination of techniques different from the combination of the elements, are selected. During the search process, the selected patents are excluded from the control of the multiple target intellectual property rights.

5. The method for searching the target intellectual property to locate the target project according to claim 4, wherein, The additional elements and at least one of the different combined technologies are determined based on the input of the party requesting the implementation of the target intellectual property.

6. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: Select patents that describe additional elements not included in the target item in the claims, or describe combination techniques different from the combination techniques of the elements; The selected patents are presented as reference technologies in the research or development of the target project to the party requesting the implementation of the target intellectual property; and When a search request for the reference technology is received from the implementing party, the search includes intellectual property rights for at least one of the additional elements or the different combinations of technologies.

7. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: The search process retrieves information on intellectual property rights that can be searched as the target intellectual property rights, as well as information on intellectual property rights that should not be included in the search results. The multiple target intellectual property rights are found among the intellectual property rights that can be searched as corresponding information for the target intellectual property rights.

8. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, The query terms contain wording that specifies performance improvements for the target project. During the search process, patents that contain at least one of the aforementioned wording or its semantic synonyms in the section describing the effects of the invention will be searched as the target intellectual property.

9. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, The query terms contain quantitative metrics describing the performance of the target project, and During the search process, patents whose performance of the target item, extracted from the portion describing the effects of the invention, meets the defined scope of the quantitative indicator wording, are searched as the target intellectual property.

10. The method for searching the target intellectual property to locate the target project according to claim 9, wherein, During the search process, Even if the performance of the target item extracted from the description of the effects of the invention deviates from the range defined by the quantitative indicator wording. However, if the performance of the target item described in the detailed description of the invention should not be interpreted restrictively as the content described in the detailed description of the invention or the effects of the invention, then the patent will be searched as the target intellectual property.

11. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, The target intellectual property rights include at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, or trade secrets.

12. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, During the search process, the language model that receives the query terms searches for and provides the multiple target intellectual property rights.

13. The method for searching the target intellectual property to locate the target project according to claim 12, wherein, The language model is trained by fine-tuning a pre-trained model based on at least one of the following: a paper, a published patent document, or a published utility model document.

14. The method for searching the target intellectual property to locate the target project according to claim 13, wherein, During the fine-tuning process, reinforcement learning based on human feedback is performed.

15. The method for searching the target intellectual property to locate the target project according to claim 14, wherein, In the reinforcement learning process based on human feedback, a training process is performed using a set of dialogues generated by humans, and a training process in which humans rank and select from multiple outputs generated by the language model.

16. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: Using the legal right to use the target intellectual property rights found in the search as the subject of the contract, a contract reflecting the agreement between the right holder of the target intellectual property rights and the party requesting implementation is signed.

17. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, The contracts include transfer or licensing agreements for the target intellectual property rights found in the search.

18. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, The agreed-upon matters include at least one of the following: the transfer amount of the target intellectual property rights found, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the patent claims for which legal use rights are granted, or whether trade secrets (technical assistance) are provided.

19. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, The agreed terms are entered by the rights holder of the target intellectual property.

20. The method of claim 18 for searching the target intellectual property to find the target project, wherein at least one of the highest, lowest, or average amount of the transfer amount or the license fee is provided as reference information to the right holder of the target intellectual property based on statistics or artificial intelligence.

21. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, Further includes: A pre-trained mediator recommendation model is used to recommend mediators to resolve the disputes between the rights holder and the party requesting enforcement of the target intellectual property rights. The agreed-upon matters will be mediated by mediators recommended by the mediator recommendation model.

22. The method for searching the target intellectual property to locate the target project according to claim 21, wherein, The mediator recommendation model recommends mediators based on at least one of the following: the mediation success rate of each mediator categorized by technical field, and the past agreement tendencies of the right holder of the target intellectual property and the party requesting enforcement.

23. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, Further includes: Using a pre-trained mediation recommendation model, a mediation scheme is recommended to coordinate the needs between the rights holder of the target intellectual property and the party requesting enforcement. The agreed-upon terms include mediation schemes recommended by the mediation scheme recommendation model.

24. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: Obtain the requested matters from the rights holder and the party requesting the implementation of the target intellectual property right, respectively; and A list of terms and conditions shall be prepared, which shall record the requests obtained therein, and the list of terms and conditions shall be provided to the rights holder of the target intellectual property and the party requesting the implementation.

25. The method for searching the target intellectual property to locate the target project according to claim 24, wherein, In the term list, matters in the requests that have been agreed upon by both parties and matters in which the parties have not reached an agreement are distinguished.

26. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, Further includes: The content of the signed contract is mapped onto the predetermined blockchain.

27. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: Obtain information on the relative importance of the elements for the target project and the respective combined technologies; Based on the obtained relative importance, determine the respective license fee limits for the elements and the combined technologies. The plurality of target intellectual property rights are determined at least in part based on the determined license fee limit and the license fee preset by the intellectual property rights holder.

28. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, During the search process, two or more candidate intellectual property rights are searched for each element of the target project and the combined technology. The method further includes: The search results for two or more candidate intellectual property rights, each targeting the elements of the target project and the combined technology, are ranked. The ranking of the candidate intellectual property rights is based on at least one of the following: the number of similar technology intellectual property rights held by the right holder of the corresponding intellectual property rights, the number of times the corresponding intellectual property rights have been cited, the existence or number of papers related to the corresponding intellectual property rights, or the existence or number of pre-existing licenses for the corresponding intellectual property rights.

29. The method for searching the target intellectual property to locate the target project according to claim 1, wherein, Further includes: Generate a business package document, which includes information relating to the elements of the target project, the combined technology of the elements, the intellectual property rights of the elements of the target project, and the intellectual property rights of the combined technology of the elements; and Control the generated business package documents so that they can be traded on business project trading platforms.

30. The method for searching the target intellectual property to locate the target project according to claim 29, wherein, Further includes: The business package file is mapped onto a predetermined blockchain.

31. The method for searching the target intellectual property to locate the target project according to claim 30, wherein, The blockchain is a private blockchain accessible only to entities that purchase the aforementioned business package documents.

32. The method for searching the target intellectual property to locate the target project according to claim 30, wherein, The blockchain contains contract details related to transactions associated with the business package documents.

33. The method for searching the target intellectual property to locate the target project according to claim 16, wherein, The signing of the contract includes: Receive electronic signatures from the rights holder and the implementation requester of the target intellectual property; and The signed contract shall be notarized.

34. A computer program stored in a computer-readable recording medium, the computer program being configured to perform the steps included in any one of claims 1 to 33.

35. A computer-readable recording medium storing a computer program configured to perform the steps included in any one of claims 1 to 33.

36. A computer device, comprising: A memory that stores at least one instruction; as well as processor, Specifically, the processor executes at least one instruction to obtain the query terms for the specified target item. Based on the query terms, search for multiple target intellectual property rights for at least one use in the research, development, and production of the target project. The plurality of target intellectual property rights include intellectual property rights for at least two elements of the target project, and intellectual property rights for the combined technology of the at least two elements for the implementation, operation, production and application of the target project.

37. The computer device according to claim 36, wherein, During the search for the multiple target intellectual property rights, patents that describe at least one of the elements or combinations of the elements of the target project in their claims will be searched as the target intellectual property rights.

38. The computer device according to claim 36, wherein, By executing the at least one instruction by the processor, a patent is selected that describes additional elements not included in the target item in the claims, or describes a combination of techniques different from the combination of the elements. and, During the search for the multiple target intellectual property rights, the selected patents are excluded from the search for the multiple target intellectual property rights.

39. The computer device according to claim 38, wherein, The additional elements and at least one of the different combined technologies are determined based on the input of the party requesting the implementation of the target intellectual property.

40. The computer device according to claim 36, wherein, Patents that specify additional elements not included in the target item in their claims, or that specify a combination of techniques different from the combination of the elements, are selected. The selected patents are presented as reference technologies in the research or development of the target project to the party requesting the implementation of the target intellectual property rights, and When a search request for the reference technology is received from the implementing party, the search includes intellectual property rights for at least one of the additional elements or the different combinations of technologies.

41. The computer device according to claim 36, wherein, By executing the at least one instruction by the processor, information on intellectual property rights that can be searched as the target intellectual property rights, as well as information on intellectual property rights that should not be included in the search results, can be obtained. The multiple target intellectual property rights are searched within the searchable intellectual property rights, while avoiding searches for intellectual property rights that should not be included in the search results.

42. The computer device as claimed in claim 36, wherein, The query terms contain wording that specifies performance improvements for the target project. During the search process, patents that contain at least one of the aforementioned wording or its semantic synonyms in the section describing the effects of the invention will be searched as the target intellectual property.

43. The computer device as claimed in claim 36, wherein, The query terms contain quantitative metrics describing the performance of the target project, and In the search process, patents whose performance of the target item, extracted from the portion describing the effect of the invention, meets the defined scope of the quantitative indicator wording are searched as the target intellectual property.

44. The computer device as claimed in claim 43, wherein, During the search process, Even if the performance of the target item extracted from the description of the effects of the invention deviates from the range defined by the quantitative indicator wording. However, if the performance of the target item described in the detailed description of the invention should not be interpreted restrictively as the content described in the detailed description of the invention or the effects of the invention, then the patent will be searched as the target intellectual property.

45. The computer device as claimed in claim 36, wherein, The target intellectual property rights include at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, or trade secrets.

46. ​​The computer device as claimed in claim 36, wherein, During the search process, the language model that receives the query terms searches for and provides the multiple target intellectual property rights.

47. The computer device according to claim 46, wherein, The language model is trained by fine-tuning a pre-trained model based on at least one of the following: a paper, a published patent document, or a published utility model document.

48. The computer device according to claim 47, wherein, During the fine-tuning process, reinforcement learning based on human feedback is performed.

49. The computer device according to claim 48, wherein, In the reinforcement learning process based on human feedback, a training process is performed using a set of dialogues generated by humans, and a training process in which humans rank and select from multiple outputs generated by the language model.

50. The computer device as claimed in claim 36, wherein, During the search process, Search for the elements of the target project based on the query terms. The search record contains at least one of the target intellectual property rights of the searched elements. The technique used to combine the elements is used as the query term to search for the combining technique, and The search document contains information on the target intellectual property rights related to the combined technologies found.

51. The computer device as claimed in claim 36, wherein, By executing the at least one instruction by the processor, a contract is entered into that reflects the agreement between the right holder of the target intellectual property and the party requesting implementation, with the legal right to use the searched target intellectual property as the subject of the contract.

52. The computer device as claimed in claim 51, wherein, The contracts include transfer or licensing agreements for the target intellectual property rights found in the search.

53. The computer device according to claim 51, wherein, The agreed-upon matters include at least one of the following: the transfer amount of the target intellectual property rights found, the license fee, the method of payment of the license fee, the conditions for termination of the license, the geographical scope, the application field of the license, the patent claims for which legal use rights are granted, or whether trade secrets (technical assistance) are provided.

54. The computer device as claimed in claim 51, wherein, The agreed terms are entered by the rights holder of the target intellectual property.

55. The computer device according to claim 53, wherein, Based on statistics or artificial intelligence, at least one of the highest, lowest, or average amounts of the transfer amount or licensing fee is provided as reference information to the right holder of the target intellectual property.

56. The computer device as claimed in claim 51, wherein, By executing the at least one instruction by the processor, a mediator is recommended through a pre-trained mediator recommendation model to mediate the needs between the rights holder of the target intellectual property and the party requesting enforcement. The agreed-upon matters will be mediated by mediators recommended by the mediator recommendation model.

57. The computer device according to claim 56, wherein, The mediator recommendation model recommends mediators based on at least one of the following: the mediation success rate of each mediator categorized by technical field, and the past agreement tendencies of the right holder of the target intellectual property and the party requesting enforcement.

58. The computer device as claimed in claim 51, wherein, By executing the at least one instruction by the processor, a pre-trained mediation scheme recommendation model is used to recommend a mediation scheme for coordinating the needs between the rights holder of the target intellectual property and the party requesting enforcement. The agreed-upon terms include mediation schemes recommended by the mediation scheme recommendation model.

59. The computer device as claimed in claim 36, wherein, Obtain the requested matters from both the rights holder and the party requesting the implementation of the target intellectual property right, and, A list of terms and conditions shall be prepared, which shall record the requests obtained therein, and the list of terms and conditions shall be provided to the rights holder of the target intellectual property and the party requesting the implementation.

60. The computer device according to claim 59, wherein, In the term list, matters in the requests that have been agreed upon by both parties and matters in which the parties have not reached an agreement are distinguished.

61. The computer device as claimed in claim 51, wherein, The content contained in the signed contract is mapped onto the predetermined blockchain.

62. The computer device as claimed in claim 36, wherein, By executing the at least one instruction by the processor, information on the relative importance of the elements of the target project and the respective combined technologies is obtained. Based on the obtained relative importance, determine the respective license fee limits for the elements and the combined technologies. The plurality of target intellectual property rights are determined at least in part based on the determined license fee limit and the license fee preset by the intellectual property rights holder.

63. The computer device as claimed in claim 36, wherein, During the search process, For each element of the target project and the combined technology, search for two or more candidate intellectual property rights. Specifically, by executing the at least one instruction by the processor, the two or more candidate intellectual property rights found respectively for the elements of the target project and the combined technology are ranked. The ranking of the candidate intellectual property rights is based on at least one of the following: the number of similar technology intellectual property rights held by the right holder of the corresponding intellectual property rights, the number of times the corresponding intellectual property rights have been cited, the existence or number of papers related to the corresponding intellectual property rights, or the existence or number of pre-existing licenses for the corresponding intellectual property rights.

64. The computer device according to claim 36, wherein, Generate a business package document, which includes information related to the elements of the target project, the technology for combining the elements, intellectual property rights concerning the elements of the target project, and intellectual property rights concerning the technology for combining the elements. Control the generated business package files so that they can be traded on a business project trading platform.

65. The computer device according to claim 64, wherein, The business package file is mapped onto a predetermined blockchain.

66. The computer device according to claim 65, wherein, The blockchain is a private blockchain accessible only to entities that purchase the aforementioned business package documents.

67. The computer device according to claim 65, wherein, The blockchain contains contract details related to transactions associated with the business package documents.

68. The computer device according to claim 51, wherein, The signing of the contract includes: Receive electronic signatures from the rights holder and the implementation requester of the target intellectual property; and The signed contracts shall be notarized.

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