Patent data grading and classifying method and system fusing obligee information

Abstract

The invention provides a patent data grading and classifying method and system fusing right holder information, and relates to the field of data analysis, the patent data grading and classifying method comprises the steps that time series data corresponding to multiple patent dimensions are acquired, and the time series data comprise patent information and right holder information; performing cleaning and basic processing on the data information, determining a patent data association map, and establishing a standardized patent database; establishing a patent grade evaluation index system based on the patent database, and calculating an evaluation score of each patent to evaluate each patent to obtain grading and classification information; and performing information processing on the patent database, calculating monetization amount of each patent, and performing information integration and storage for query. According to the method, the time sequence data is adopted, an adjustment mechanism for dynamic changes of market and patent states is established, the data can be updated based on time, analysis is performed in combination with information of obligees, and the grading and classification precision can be improved.

Description

Technical Field

[0001] The present application relates to the field of data analysis technology, and in particular to a patent data grading and classification method and system that integrates right holder information. Background Art

[0002] Patent data grading and classification systematically organizes and divides massive amounts of patent data based on their distinct characteristics and attributes. This helps clearly present the characteristics and differences between different patents, and distinguishes patents of varying importance and potential value. This grading and classification enables efficient management, accurate retrieval, in-depth analysis, and rational utilization of patent data, providing strong support and assurance for various patent-related activities.

[0003] In related technologies, when classifying and grading patent data, it relies on the prediction of future years' earnings, but future earnings are often difficult to predict accurately, involving multiple uncertain factors such as market changes and technological development, and lacking an adjustment mechanism for dynamic changes in the market and patent status; and the current method focuses on the extraction of technical features in patent documents, and fails to combine specific data such as the right holder's own scientific and technological capabilities or qualifications, resulting in insufficient personalization of the classification results; resulting in poor applicability of the method in scenarios where data is incomplete or market data is scarce, and it cannot provide sufficient reference value. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, this application provides a patent data grading and classification method and system that integrates the information of the right holder, solving the problem of insufficient accuracy of the current patent data grading and classification.

[0005] To achieve the above objectives, this application is implemented through the following technical solutions:

[0006] On the first aspect, an embodiment of the present application provides a patent data grading and classification method that integrates right holder information, and the patent data grading and classification method includes: obtaining time series data corresponding to multiple patent dimensions, the time series data including patent information and right holder information; the right holder information includes the right holder's industrial and commercial information, the right holder's equity information and the right holder's industry information; cleaning and basic processing of the data information, determining the patent data association map, and establishing a standardized patent database; based on the patent database, building a patent grade evaluation index system, calculating the evaluation score of each patent to evaluate each patent and obtain graded classification information; processing the patent database, calculating the monetization amount of each patent and integrating and storing the information for query.

[0007] According to the first aspect of the embodiment of the present application, patent information includes patent bibliographic information, patent transfer information, patent licensing information, patent pledge preservation information, patent full text information and litigation information.

[0008] According to the first aspect of the embodiment of the present application, the aforementioned cleaning and basic processing of data information, determination of patent data association map, and establishment of a standardized patent database can specifically include the following steps: text processing of litigation information to extract the patent numbers involved therein; semantic analysis of the full-text information of the patent to determine the patent type, extract the patent rights and uses, and establish a patent classification system; construct a patent data association map to determine the relationship between multiple patents, the relationship between patents and right holders, and the relationship between multiple right holders, so as to establish a standardized patent database.

[0009] According to the first aspect of the embodiment of the present application, the aforementioned patent level evaluation index system corresponds to legal dimension, technical dimension and economic dimension; the legal dimension, technical dimension and economic dimension all correspond to secondary indicators, tertiary indicators and quaternary indicators distributed step by step.

[0010] According to the first aspect of the embodiment of the present application, the aforementioned patent grade evaluation index system is constructed based on the patent database, and the evaluation score of each patent is calculated to evaluate each patent to obtain graded classification information. Specifically, the following steps may be included: determining the weight information corresponding to each patent under different dimensions and indicators; based on the weight information, determining the patent score corresponding to each indicator through a preset score calculation method; performing weighted summation on the patent scores corresponding to each indicator to obtain a total patent grade score; sorting and screening the patent grades based on the total patent grade score to obtain graded classification information.

[0011] According to the first aspect of the embodiment of the present application, the aforementioned information processing of the patent database, calculation of the monetization amount of each patent and information integration and storage for query may specifically include the following steps: determining the data type of the indicator in the patent grade evaluation index system; the data type includes categorical variables, continuous variables and text types; after determining the data type of the indicator, processing the indicator in the patent grade evaluation index system to unify the quantitative scale, and storing the indicator processing results in a new data storage unit; based on the total score of each patent grade in the patent database, estimating the value of each patent according to a preset patent value calculation method, and determining the monetization amount of each patent; and then integrating and storing the patent grade score of each patent in the patent database and the corresponding monetization.

[0012] According to the first aspect of the embodiment of the present application, after processing the information of the patent database, calculating the monetization amount of each patent and integrating and storing the information for query, the patent data grading and classification method that integrates the right holder information can also specifically include: obtaining the input query instruction, and searching the patent level and valuation results according to the query instruction; when the query instruction is the patent number, the program automatically searches the data storage unit of the result according to the patent number, and feeds back information, patent level and valuation according to the search results; when the query instruction is the right holder name, the program retrieves all patents under the right holder name from the data storage unit according to the right holder name, and feeds back all patent information.

[0013] According to the first aspect of the embodiment of the present application, the aforementioned preset score calculation method satisfies the expression:

[0014]

[0015] Where, β ′ =(α,β1,β2,…,β k ),

[0016] X=(x1,x2,...,x K ) T When Y=1, the probability is π=π(x), and the success probability is Among them, T represents the transpose of the matrix, Y represents the patent level, logit is a logistic regression function, x K Indicates the value of the patent level index; β k represents the weight of the patent grade indicator; a represents the basic value of the patent grade system.

[0017] According to the first aspect of the embodiment of the present application, the aforementioned patent value calculation method satisfies the expression:

[0018]

[0019] Where P is the assessed value of the patent, R is the predicted sales revenue generated by the patent in year i, a is the intangible asset sharing rate, r is the discount rate, and n is the discount period.

[0020] On the second aspect, an embodiment of the present application provides a patent data grading and classification system that integrates right holder information, and the patent data grading and classification system includes: an acquisition module, an information processing module, a grading and classification module, and an information integration module; wherein the acquisition module is used to obtain time series data corresponding to multiple types of patent dimensions, and the time series data includes patent information and right holder information; the right holder information includes the right holder's industrial and commercial information, the right holder's equity information, and the right holder's industry information; the information processing module is used to clean and perform basic processing on the data information, determine the patent data association map, and establish a standardized patent database; the grading and classification module is used to build a patent grade evaluation index system based on the patent database, calculate the evaluation score of each patent to evaluate each patent and obtain grading and classification information; the information integration module is used to process the patent database, calculate the monetization amount of each patent, and integrate and store information for query.

[0021] In a third aspect, an embodiment of the present application provides an electronic device comprising: a processor, a memory, and a program stored in the memory and executable on the processor. When the program is executed by the processor, the patent data grading and classification method integrating the right holder information in the aforementioned first aspect is implemented.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a program or instruction. When the program or instruction is executed by a processor, the patent data grading and classification method integrating the right holder information in the aforementioned first aspect is implemented.

[0023] This application provides a patent data classification method and system that integrates patent holder information. Compared with existing technologies, it has the following advantages:

[0024] When establishing a standardized patent database, this application cleans and processes time series data corresponding to multiple patent dimensions. Since the various indicators for evaluating patents are in a dynamic state of change, this application uses time series data to establish an adjustment mechanism for dynamic changes in market and patent status, which can update data based on time. The time series data includes two aspects: patent information and right holder information. The right holder information includes the right holder's industrial and commercial information, the right holder's equity information and the right holder's industry information. This application is conducive to providing the accuracy of grading and classification by combining the right holder information for analysis. After establishing the patent database, a patent grade evaluation index system is further established, and the evaluation score of each patent is calculated to evaluate each patent to obtain graded and classified information, and query functions are provided through information integration and storage. This application can improve the accuracy of patent data grading and classification through comprehensive data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is a flowchart of a patent data classification method that integrates right holder information provided by an embodiment of the present application;

[0027] Figure 2 This is a schematic diagram of the structure of a patent data classification system that integrates right holder information provided by an embodiment of the present application;

[0028] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0030] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0031] The embodiments of the present application solve the problem of insufficient accuracy in the current classification of patent data by providing a patent data classification method and system that integrates the information of the right holder.

[0032] The technical solution in the embodiments of the present application is to solve the above technical problems, and the overall idea is as follows:

[0033] Patent data grading and classification systematically organizes and divides massive amounts of patent data based on their distinct characteristics and attributes. This helps clearly present the characteristics and differences between different patents, and distinguishes patents of varying importance and potential value. This grading and classification enables efficient management, accurate retrieval, in-depth analysis, and rational utilization of patent data, providing strong support and assurance for various patent-related activities.

[0034] In related technologies, when classifying and grading patent data, it relies on the prediction of future years' earnings, but future earnings are often difficult to predict accurately, involving multiple uncertain factors such as market changes and technological development. The value of patents may change over time. The current patent data grading and classification methods lack an adjustment mechanism for dynamic changes in the market and patent status; and the current methods focus on the extraction of technical features in patent documents, and fail to combine specific data such as the right holder's own scientific and technological capabilities or qualifications, resulting in insufficient personalization of the classification results; resulting in poor applicability of the methods in scenarios where data is incomplete or market data is scarce, and they cannot provide sufficient reference value.

[0035] Relevant technologies have shortcomings in the multi-dimensional analysis of patent classification and grading, especially in terms of combining background data of right holders and adjusting mechanisms for dynamic changes in the market and patent status to improve evaluation accuracy and practicality.

[0036] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0037] The following first introduces a patent data grading and classification method that integrates the rights holder information provided in an embodiment of the present application.

[0038] The present application provides a flowchart of a patent data classification method integrating right holder information, as shown in FIG. Figure 1 As shown, the patent data hierarchical classification method integrating the right holder information may include the following steps S110-S140.

[0039] S110. Obtain time series data corresponding to multiple patent categories, where the time series data includes patent information and right holder information; the right holder information includes the right holder's business information, right holder's equity information, and right holder's industry information;

[0040] S120: Clean and process data information, determine patent data association graphs, and establish a standardized patent database;

[0041] S130. Based on the patent database, a patent grade evaluation index system is established, and the evaluation score of each patent is calculated to evaluate each patent and obtain graded classification information;

[0042] S140. Process the patent database, calculate the monetization amount of each patent, and integrate and store the information for query.

[0043] The above is a specific implementation method of a patent data grading and classification method that integrates right holder information provided in an embodiment of the present application. It can be understood that when establishing a standardized patent database, the present application cleans and processes the time series data corresponding to multiple patent dimensions. Since the various indicators for evaluating patents are in a dynamic state of change, the present application uses time series data to establish an adjustment mechanism for dynamic changes in the market and patent status, and can update data based on time. The time series data includes both patent information and right holder information. The right holder information includes the right holder's industrial and commercial information, the right holder's equity information, and the right holder's industry information. The present application is conducive to providing the accuracy of grading and classification by combining the right holder information for analysis.

[0044] Furthermore, after establishing the patent database, this application further builds a patent grade evaluation index system, calculates the evaluation score of each patent to evaluate each patent to obtain graded and classified information, and provides query functions through information integration and storage; this application can improve the accuracy of patent data grading and classification through comprehensive data analysis, provide a scientific basis for the evaluation of patent value, and improve patent management and decision-making efficiency.

[0045] In some embodiments, patent information includes patent bibliographic information, patent transfer information, patent licensing information, patent pledge preservation information, patent full text information, and litigation information;

[0046] The aforementioned cleaning and basic processing of data information, determination of patent data association map, and establishment of a standardized patent database, i.e., the aforementioned S120, may specifically include the following steps:

[0047] S210, performing text processing on the litigation information to extract the patent numbers involved therein;

[0048] S220: Perform semantic analysis on the full text of patents to determine the patent type, extract patent claims and uses, and establish a patent classification system;

[0049] S230. Construct a patent data association map to determine the relationship between multiple patents, the relationship between patents and right holders, and the relationship between multiple right holders, so as to establish a standardized patent database.

[0050] In the embodiments of the present application, it can be understood that the present application establishes a patent information database by integrating various data information related to patents, and combines external information of patent holders to process and process various types of information to form a set of standardized patent information integration and rating schemes.

[0051] In some embodiments, the patent level evaluation index system corresponds to legal dimension, technical dimension and economic dimension; the legal dimension, technical dimension and economic dimension each correspond to secondary indicators, tertiary indicators and quaternary indicators distributed step by step.

[0052] The aforementioned process of building a patent grade evaluation index system based on the patent database and calculating the evaluation score of each patent to evaluate each patent and obtain graded classification information, that is, the aforementioned S130 may specifically include the following steps:

[0053] S310, determining the weight information corresponding to each patent under different dimensions and indicators;

[0054] S320. Based on the weight information, determine the patent score corresponding to each indicator using a preset score calculation method;

[0055] S330, performing weighted summation of the patent scores corresponding to each indicator to obtain a total patent grade score;

[0056] S340. Sort and filter patent grades based on the total patent grade scores to obtain graded classification information.

[0057] In the embodiments of the present application, it can be understood that the higher the total score of the patent grade, the higher the value of the patent; for patents with multiple right holders, the monetary valuation of the same patent may be different for different right holders, which depends on the differences in the right holder-related indicators in the patent grade index.

[0058] In an example, the secondary indicators corresponding to the legal dimension include: stability of rights, scope of rights protection, determinability of infringement and degree of dependence; the secondary indicators corresponding to the technical dimension include: technological advancement, technological substitutability, scope of technological applicability, technological independence, technological maturity and development trends in the technological field; the secondary indicators corresponding to the economic dimension include: remaining economic life, competitive situation, market application and patent operation status.

[0059] In another example, the aforementioned preset score calculation method satisfies the expression:

[0060]

[0061] Where, β ′ =(α,β1,β2,…,β k ),

[0062] X=(x1,x2,...,x K ) T When Y=1, the probability is π=π(x), and the success probability is Among them, T represents the transpose of the matrix, Y represents the patent level, logit is a logistic regression function, x K Indicates the value of the patent level index; β k represents the weight of the patent grade indicator; α represents the basic value of the patent grade system.

[0063] This application uses a logistic regression model to transform the logit of this probability into a linear form; the logistic regression model is expressed as the form of success probability π(x), which is

[0064] In some embodiments, the aforementioned processing of information on the patent database, calculating the monetization amount of each patent, and integrating and storing the information for query, that is, the aforementioned S140, may specifically include the following steps:

[0065] S410. Determine the data type of the indicators in the patent grade evaluation indicator system; the data types include categorical variables, continuous variables, and text types;

[0066] S420: After determining the data type of the indicator, the indicators in the patent level evaluation indicator system are processed to unify the quantitative scale, and the indicator processing results are stored in a new data storage unit;

[0067] S430. Based on the total score of each patent level in the patent database, estimate the value of each patent according to a preset patent value calculation method to determine the monetization amount of each patent;

[0068] S440: Integrate and store the patent grade score and corresponding monetization of each patent in the patent database.

[0069] In one example, the patent value calculation method satisfies the expression:

[0070]

[0071] Where P is the assessed value of the patent, R is the predicted sales revenue generated by the patent in year i, a is the intangible asset sharing rate, r is the discount rate, and n is the discount period.

[0072] In some embodiments, after processing the patent database, calculating the monetization amount of each patent, and integrating and storing the information for query, that is, after S140, the patent data classification method integrating the right holder information further includes:

[0073] S510: Obtaining an input query instruction and searching for patent levels and valuation results according to the query instruction;

[0074] S520, when the query instruction is a patent number, the program automatically searches the data storage unit of the result according to the patent number, and feedbacks information, patent level and valuation according to the search result;

[0075] S530. When the query instruction is the name of the right holder, the program retrieves all patents under the right holder's name from the data storage unit according to the right holder's name and feeds back all patent information.

[0076] In the embodiments of the present application, it can be understood that the present application can automatically calculate patent levels and valuations online, and support real-time user inquiries through pre-processing of data; at the same time, it can adjust the weights of the evaluation indicators according to actual conditions to update the results.

[0077] In some embodiments, the present application provides a patent data classification system 600 that integrates the information of the right holder, such as Figure 2 As shown, the patent data hierarchical classification system 600 may include the following modules:

[0078] Acquisition module 610 is used to acquire time series data corresponding to multiple patent categories, where the time series data includes patent information and right holder information; the right holder information includes the right holder's business information, right holder's equity information, and right holder's industry information;

[0079] Information processing module 620, used to clean and perform basic processing on data information, determine patent data association graph, and establish a standardized patent database;

[0080] The grading and classification module 630 is used to build a patent grade evaluation index system based on the patent database, calculate the evaluation score of each patent, and evaluate each patent to obtain grading and classification information;

[0081] The information integration module 640 is used to process information in the patent database, calculate the monetization amount of each patent, and integrate and store the information for query.

[0082] According to an embodiment of the present application, any multiple modules among the acquisition module 610, the information processing module 620, the grading and classification module 630, and the information integration module 640 can be combined into a single module, or any one of these modules can be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules can be combined with at least part of the functionality of other modules and implemented in a single module.

[0083] In some embodiments, the patent data hierarchical classification system 600 may further include a query module 650, which may be used to:

[0084] Obtain the input query instruction and search the patent level and valuation results according to the query instruction;

[0085] When the query instruction is a patent number, the program automatically searches the data storage unit of the result according to the patent number and feedbacks information, patent level and valuation according to the search results;

[0086] When the query instruction is the name of the right holder, the program retrieves all patents under the right holder's name from the data storage unit according to the right holder's name and feeds back all patent information.

[0087] Figure 2 Each module in the system shown has the function of implementing each step in the aforementioned patent data classification method that integrates the right holder information, and can achieve its corresponding technical effect. For the sake of brevity, it will not be repeated here.

[0088] In some embodiments, the present application provides an electronic device, the structural diagram of the electronic device is as follows Figure 3 shown.

[0089] The electronic device may include a processor 710 and a memory 720 storing computer program instructions.

[0090] Specifically, the processor 710 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0091] The memory 720 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 720 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 720 may include removable or non-removable (or fixed) media. Where appropriate, the memory 720 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 720 is a non-volatile solid-state memory.

[0092] The memory 720 may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical, or other physical / tangible memory storage device. Therefore, typically, the memory 720 includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it may perform the operations described in any of the above-described embodiments of the patent data hierarchical classification method for integrating right holder information.

[0093] The processor 710 reads and executes computer program instructions stored in the memory 720 to implement any one of the patent data classification methods that integrate the right holder information in the above embodiments.

[0094] In one example, the electronic device may further include a communication interface 730 and a bus 700. Figure 3 As shown, the processor 710 , the memory 720 , and the communication interface 730 are connected via a bus 700 and communicate with each other.

[0095] The communication interface 730 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0096] Bus 700 includes hardware, software or both, and the parts of online data flow metering equipment are coupled to each other. For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 700 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the application considers any suitable bus or interconnection.

[0097] In addition, in conjunction with the patent data classification method integrating right holder information in the above-mentioned embodiments, embodiments of the present application may provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by a processor, any of the patent data classification methods integrating right holder information in the above-mentioned embodiments is implemented.

[0098] It should be understood that the present application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and illustrated as examples. However, the method process of the present application is not limited to the specific steps described and illustrated. Those skilled in the art can make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present application.

[0099] The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. Programs or code segments can be stored in machine-readable media, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0100] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps. In other words, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0101] Aspects of the present disclosure have been described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit. It is also understood that each box in the block diagram and / or flowchart and the combination of the boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0102] In summary, compared with the prior art, this application has the following beneficial effects:

[0103] 1. When establishing a standardized patent database, this application cleans and processes the time series data corresponding to multiple patent dimensions. Since the various indicators for evaluating patents are in a dynamic state of change, this application uses time series data to establish an adjustment mechanism for dynamic changes in the market and patent status, and can update data based on time.

[0104] 2. When evaluating the level of patents in this application, the time series data includes both patent information and right holder information. The right holder information includes the right holder's industrial and commercial information, the right holder's equity information, and the right holder's industry information. By adopting a large amount of data other than basic patent information, the value of the patent can be demonstrated from more perspectives, and the right holder's situation can be integrated into the patent rating system, which can better reflect the economic value of the patent in the product development process and actual operation, and is conducive to providing the accuracy of grading and classification.

[0105] 3. This application introduces a method that combines patent grade scores with value assessment. By building a patent grade assessment index system, the assessment score of each patent is calculated to evaluate each patent to obtain graded and classified information, and provides query functions through information integration and storage. This application can improve the accuracy of patent data grading and classification through comprehensive data analysis.

[0106] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A patent data classification method integrating right holder information, characterized in that: include: Obtaining time series data corresponding to multiple patent dimensions, the time series data including patent information and right holder information; the right holder information including right holder business information, right holder equity information, and right holder industry information; Clean and process the data information, determine the patent data association map, and establish a standardized patent database; Based on the patent database, a patent grade evaluation index system is established, and an evaluation score of each patent is calculated to evaluate each patent and obtain graded classification information; The patent database is processed, the monetization amount of each patent is calculated, and the information is integrated and stored for query.

2. The patent data classification method integrating right holder information according to claim 1 is characterized in that: The patent information includes patent bibliographic information, patent transfer information, patent licensing information, patent pledge preservation information, patent full text information and litigation information; The cleaning and basic processing of the data information, determining the patent data association map, and establishing a standardized patent database include: Performing text processing on the litigation information to extract the patent numbers involved; Conduct semantic analysis on the full text of the patent, determine the patent type, extract the patent rights and uses, and establish a patent classification system; Construct a patent data association map to determine the relationship between multiple patents, the relationship between patents and right holders, and the relationship between multiple right holders, in order to establish a standardized patent database.

3. The patent data classification method integrating right holder information according to claim 1 is characterized in that: The patent grade evaluation index system corresponds to the legal dimension, the technical dimension and the economic dimension; the legal dimension, the technical dimension and the economic dimension each correspond to secondary indicators, tertiary indicators and quaternary indicators distributed step by step; Based on the patent database, a patent grade evaluation index system is established, and an evaluation score of each patent is calculated to evaluate each patent and obtain graded classification information, including: Determine the weight information corresponding to each patent under different dimensions and indicators; Based on the weight information, determine the patent score corresponding to each indicator through a preset score calculation method; Perform weighted summation on the patent scores corresponding to each indicator to obtain the total patent grade score; The patent grades are sorted and screened based on the total patent grade scores to obtain graded classification information.

4. The patent data classification method integrating right holder information according to claim 1 is characterized in that: The processing of information on the patent database, calculation of the monetization amount of each patent, and information integration and storage for query includes: Determining the data types of indicators in the patent grade evaluation indicator system; the data types include categorical variables, continuous variables and text types; After determining the data type of the indicator, processing the indicators in the patent level evaluation indicator system to unify the quantitative scale, and storing the indicator processing results in a new data storage unit; Based on the total score of each patent level in the patent database, the value of each patent is estimated according to a preset patent value calculation method to determine the monetization amount of each patent; The patent grade score and corresponding monetization of each patent in the patent database are integrated and stored.

5. The patent data classification method integrating right holder information according to claim 1 is characterized in that: After processing the information of the patent database, calculating the monetization amount of each patent, and integrating and storing the information for query, the patent data classification method integrating the right holder information further includes: Obtaining an input query instruction and searching for patent levels and valuation results according to the query instruction; In the case where the query instruction is a patent number, the program automatically searches the data storage unit of the result according to the patent number and feeds back information, patent level and valuation according to the search result; In the case where the query instruction is the name of the right holder, the program retrieves all patents under the name of the right holder from the data storage unit according to the name of the right holder and feeds back all patent information.

6. The patent data classification method integrating right holder information according to claim 3 is characterized in that: The preset score calculation method satisfies the expression: Where, X=(x1,x2,...,x K ) T When Y=1, the probability is π=π(x), and the success probability is Among them, T represents the transpose of the matrix, Y represents the patent level, logit is a logistic regression function, x K Indicates the value of the patent level index; δ k represents the weight of the patent grade indicator; α represents the basic value of the patent grade system.

7. The patent data classification method integrating right holder information according to claim 4 is characterized in that: The patent value calculation method satisfies the expression: Where P is the assessed value of the patent, R is the predicted sales revenue generated by the patent in year i, a is the intangible asset sharing rate, r is the discount rate, and n is the discount period.

8. A patent data classification system integrating rights holder information, characterized by: include: An acquisition module is used to acquire time series data corresponding to multiple patent dimensions, wherein the time series data includes patent information and right holder information; the right holder information includes the right holder's business information, the right holder's equity information, and the right holder's industry information; An information processing module is used to clean and perform basic processing on the data information, determine the patent data association map, and establish a standardized patent database; A grading and classification module is used to build a patent grade evaluation index system based on the patent database, calculate the evaluation score of each patent to evaluate each patent and obtain grading and classification information; The information integration module is used to process information on the patent database, calculate the monetization amount of each patent, and integrate and store the information for query.

9. An electronic device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the method for hierarchical classification of patent data integrating right holder information as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the patent data hierarchical classification method integrating the right holder information as described in any one of claims 1 to 7 is implemented.

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