Enterprise intellectual property digital asset right confirmation management method and system

By obtaining and analyzing the company's own intellectual property characteristics, talent outflow information, and competitors' public intellectual property and litigation information, determining the company's intellectual property risks and development suggestions, solving the company's challenges in intellectual property management and improving the intellectual property rights confirmation and risk management capabilities.

CN120107028AInactive Publication Date: 2025-06-06GANSU INST OF POLITICAL SCI & LAW
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Patent Information

Application Number
CN202510208486.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-06-06
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Enterprises face many challenges when managing intellectual property rights, including effectively identifying and evaluating the value of their own intellectual property rights, responding to competitors' patent layout and preventing intellectual property infringement disputes, and lacking comprehensive digital management methods to improve intellectual property rights confirmation and risk management capabilities.

Method used

A method for confirming and managing intellectual property digital assets in enterprises is proposed. By obtaining the target enterprise's own intellectual property characteristics information, talent outflow information, and public intellectual property characteristics information and public litigation information of competing enterprises, we determine the target enterprise's risk information and intellectual property development recommendation information.

Benefits of technology

Through multi-dimensional information integration, we can comprehensively evaluate the intellectual property risks of enterprises, identify potential technical barriers, patent gaps and competitor patent threats, etc., and provide customized intellectual property development suggestions to help enterprises optimize patent layout, enhance technical competitiveness and effectively respond to market changes.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an enterprise intellectual property digital asset right confirmation management method and system, and relates to the field of intellectual property management, and the method comprises the steps: obtaining own intellectual property feature information and talent outflow information of a target enterprise; acquiring public intellectual property characteristic information and public litigation information of the competitive enterprise; and according to the own intellectual property feature information, the talent outflow information, the public intellectual property feature information and the public litigation information, determining target enterprise risk information and target enterprise known production development recommendation information.
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Description

Background Art

[0002] As competition among enterprises in the global market intensifies, intellectual property (IP) has become an important part of the core competitiveness of enterprises. The intellectual property of enterprises not only covers technological innovation, but also includes various intangible assets such as brands, trademarks, and trade secrets. In order to protect the technological achievements and market share of enterprises, the management, maintenance and optimization of intellectual property rights have become particularly important.

[0003] However, enterprises often face many challenges in managing intellectual property rights. For example, how to effectively identify and evaluate the value of their own intellectual property rights, how to deal with competitors' patent layout, and how to prevent intellectual property infringement disputes. At the same time, enterprises also need to pay attention to the loss of key talents, because the loss of talents may directly affect the progress of the company's technological research and development and the development and utilization of intellectual property rights.

[0004] Under the current circumstances, most companies rely on traditional intellectual property management methods, often relying only on patent applications and intellectual property registrations to protect their innovative achievements, lacking a comprehensive risk assessment mechanism. In addition, companies often do not have a timely and in-depth understanding of competitors' intellectual property layout and litigation situations, and are unable to respond to potential risks brought about by external changes in real time. In addition, there is also a lack of effective monitoring and early warning mechanisms for the impact of talent loss on intellectual property.

[0005] Therefore, the existing technology still lacks a comprehensive digital management method that can combine multi-dimensional information such as proprietary intellectual property, talent loss, and competitor intellectual property to enhance the company's intellectual property rights confirmation and risk management capabilities. Summary of the invention

[0006] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further described in detail in the Detailed Description of the Invention section. The Summary of the Invention section of this application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0007] In the first aspect, this application proposes a method for enterprise intellectual property digital asset confirmation management, including: Obtain the target company's proprietary intellectual property characteristics and talent outflow information; Obtain public intellectual property feature information and public litigation information of competing enterprises; The target enterprise risk information and target enterprise intellectual property development recommendation information are determined based on the above-mentioned proprietary intellectual property characteristic information, talent outflow information, the above-mentioned public intellectual property characteristic information and the above-mentioned public litigation information.

[0008] In a feasible implementation manner, the above-mentioned determination of target enterprise risk information and target enterprise intellectual property development recommendation information based on the above-mentioned proprietary intellectual property feature information, the talent outflow information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information includes: Determine the target enterprise risk information based on the above-mentioned proprietary intellectual property feature information, the above-mentioned talent outflow information and the above-mentioned public intellectual property feature information; Determine the target enterprise's recommended information on intellectual property development based on the above-mentioned proprietary intellectual property information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information.

[0009] In a feasible implementation manner, the target enterprise risk information is determined based on the self-owned intellectual property feature information, the talent outflow information and the public intellectual property feature information, including: Classify according to the above-mentioned proprietary intellectual property characteristic information and the above-mentioned public intellectual property characteristic information; Obtaining the intellectual property similarity information and intellectual property leadership information of the same type based on the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information of the same type; Performing inventor comparison operation based on the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information to obtain inventor similarity information; The target enterprise risk information is determined based on the intellectual property similarity information, the intellectual property leadership information and the inventor similarity information.

[0010] In a feasible implementation manner, the obtaining of the same type of intellectual property similarity information and intellectual property leading information based on the same type of the own intellectual property feature information and the public intellectual property feature information includes: Calculate the patent similarity assessment value, technological achievement similarity assessment value, trademark similarity assessment value and copyright work similarity assessment value based on the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information; Determine the above intellectual property similarity information based on the above patent similarity assessment value, the above technological achievement similarity assessment value, the above trademark similarity assessment value and the above copyright work similarity assessment value; Calculate the patent leadership evaluation value, technological achievement leadership evaluation value, trademark leadership evaluation value and copyright work leadership evaluation value based on the above-mentioned proprietary intellectual property characteristic information and the above-mentioned public intellectual property characteristic information; The above-mentioned intellectual property leadership information is determined based on the above-mentioned patent leadership evaluation value, the above-mentioned technological achievement leadership evaluation value, the above-mentioned trademark leadership evaluation value and the above-mentioned copyright work leadership evaluation value.

[0011] In a feasible implementation manner, the inventor comparison operation is performed based on the self-owned intellectual property feature information and the public intellectual property feature information to obtain inventor similarity information, including: According to the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information, information on inventor technical field overlap, inventor position matching information, inventor skill matching information and intellectual property disclosure time information are obtained; The inventor similarity information is calculated based on the inventor's technical field overlap information, the inventor's position matching information, the inventor's skill matching information and the intellectual property disclosure time information.

[0012] In a feasible implementation manner, the above-mentioned determination of the above-mentioned target enterprise risk information based on the above-mentioned intellectual property similarity information, the above-mentioned intellectual property leading information and the above-mentioned inventor similarity information includes: Obtain the target company's business scope information; Determine the risk weight information corresponding to the intellectual property similarity information, the intellectual property leadership information and the inventor similarity information based on the business scope information; The target enterprise risk information is determined based on the intellectual property similarity information, the intellectual property leadership information, the inventor similarity information and their corresponding risk weight information.

[0013] In a feasible implementation manner, the above-mentioned determination of the target enterprise's intellectual property development recommendation information based on the above-mentioned self-owned intellectual property information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information includes: Determine the intellectual property optimization layout information based on the above-mentioned proprietary intellectual property information and the above-mentioned public intellectual property characteristic information; Determine intellectual property infringement risk information based on the above public litigation information and the above owned intellectual property information; Determine the recommended information on intellectual property development for the above-mentioned target enterprise based on the above-mentioned intellectual property optimization layout information and the above-mentioned infringement risk information.

[0014] In a feasible implementation manner, the above-mentioned determination of the intellectual property optimization layout information based on the above-mentioned self-owned intellectual property information and the above-mentioned public intellectual property characteristic information includes: Determine technical layout suggestions based on the above-mentioned proprietary intellectual property information and the above-mentioned public intellectual property feature information; Obtain information on the current state of technological development in different regions; The above-mentioned intellectual property optimization layout information is determined based on the above-mentioned technology development status information of different regions and the above-mentioned technology layout suggestions.

[0015] In a feasible implementation manner, the above-mentioned determination of the intellectual property infringement risk information based on the above-mentioned public litigation information includes: Extract infringing technology information, infringement compensation information and judgment time information based on the above public litigation information; The above-mentioned intellectual property infringement risk information is determined based on the above-mentioned infringing technical information, the above-mentioned infringement compensation information and the above-mentioned judgment time information.

[0016] In the second aspect, this application proposes an enterprise intellectual property digital asset rights confirmation management system, including: The first acquisition unit is used to acquire the target enterprise's own intellectual property feature information and talent outflow information; The second acquisition unit is used to acquire public intellectual property feature information and public litigation information of competing enterprises; The determination unit is used to determine the target enterprise risk information and the target enterprise intellectual property development recommendation information based on the above-mentioned proprietary intellectual property feature information, the talent outflow information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information.

[0017] In summary, the enterprise intellectual property digital asset confirmation management method of the embodiment of the present application includes: obtaining the target enterprise's own intellectual property feature information and talent outflow information; obtaining the public intellectual property feature information and public litigation information of the competing enterprise; determining the target enterprise risk information and the target enterprise intellectual property development recommendation information based on the above-mentioned own intellectual property feature information, talent outflow information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information. The enterprise intellectual property digital asset confirmation management method proposed in the embodiment of the present application can comprehensively assess the intellectual property risk of the enterprise by collecting the target enterprise's own intellectual property feature information, talent outflow information, competitor's public intellectual property feature information and public litigation information. This multi-dimensional information integration helps to identify risk factors that may be overlooked, such as technical barriers, patent gaps and patent threats from competitors. By comprehensively analyzing the intellectual property layout of own intellectual property and external competitors, the potential intellectual property risks faced by the enterprise can be effectively identified. By collecting and analyzing the talent outflow information of the target enterprise, the potential impact of talent loss on the enterprise's technology research and development and intellectual property development can be assessed. Enterprises can take timely measures, such as strengthening talent introduction and training, to ensure that technological innovation is not affected. Based on the above risk assessment results, the system can provide specific intellectual property development recommendations for enterprises. These suggestions can help companies optimize their patent layout, develop technological innovation directions, and enhance their technological competitiveness through cooperation and mergers and acquisitions. The use of data-driven methods to manage intellectual property rights can provide more scientific and reasonable decision-making support. Companies can make strategic adjustments based on data analysis results to enhance their competitiveness in the market. By tracking the dynamics of competitors and legal dispute information in the industry in real time, companies can respond to market changes and risks more agilely, which helps companies maintain a sustained competitive advantage in a dynamic competitive environment. Compared with traditional intellectual property management methods, the present invention provides a more comprehensive, real-time and accurate risk assessment and management method by integrating proprietary intellectual property, talent outflow information, and intellectual property and litigation information of competing companies. This method not only helps companies identify potential intellectual property risks in advance, but also provides companies with customized intellectual property development suggestions, thereby helping companies better optimize their intellectual property layout, enhance technological competitiveness, and effectively respond to rapid changes and challenges in the market.

[0018] The enterprise intellectual property digital asset title confirmation and management method proposed in this application, and other advantages, objectives and features of this application will be reflected in part through the following description, and in part will also be understood by technical personnel in this field through research and practice of this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A process diagram of a method for managing the confirmation of digital assets of intellectual property rights of an enterprise provided in an embodiment of the present application; Figure 2 A structural diagram of an enterprise intellectual property digital asset rights confirmation management system provided for an embodiment of the present application. DETAILED DESCRIPTION

[0020] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0021] See also Figure 1 , which is a process diagram of a method for enterprise intellectual property digital asset confirmation management provided by the embodiment of the present application, which may specifically include: S110. Obtain the target enterprise's proprietary intellectual property feature information and talent outflow information; For example, the target enterprise's own intellectual property feature information is collected, which includes but is not limited to the specific content of the target enterprise's patents, trademarks, copyrights and other intellectual property rights, such as technical fields, innovations, patent applications and authorizations, etc. At the same time, it is also necessary to collect information on the outflow of talent from the target enterprise, that is, the loss of key talents within the enterprise, including the turnover of technical team personnel, the resignation of R&D personnel, etc., to analyze the risks that the loss of talent may bring to the enterprise's intellectual property.

[0022] S120. Obtain public intellectual property feature information and public litigation information of competing enterprises; For example, collect public intellectual property information of other companies competing with the target company. Public intellectual property feature information of competing companies can be obtained through public patent databases, trademark registration records, copyright registrations, etc. It mainly includes paying attention to the technical direction and patent layout of competitors. At the same time, obtain public litigation information related to these competing companies, including intellectual property infringement lawsuits, patent disputes, etc. This information is helpful for analyzing intellectual property risks and potential market dynamics in the industry.

[0023] S130. Determine the target enterprise risk information and the target enterprise intellectual property development recommendation information based on the above-mentioned proprietary intellectual property feature information, the talent outflow information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information.

[0024] For example, based on the information on the characteristics of the proprietary intellectual property rights, the information on the outflow of talents, the public intellectual property rights information of competing enterprises, and the litigation information collected in steps S110 and S120, a comprehensive analysis is conducted to assess the risks of the target enterprise in terms of intellectual property rights. For example, the target enterprise may face risks such as technical barriers, patent gaps, and patent threats from competitors. At the same time, based on these analysis results, intellectual property development suggestions are formulated for the target enterprise, such as patent layout optimization, technological innovation direction, cooperation and M&A opportunities, etc., so as to help the enterprise better cope with external competition and risks.

[0025] For example: The target company is a biotechnology company with a unique gene editing technology (intellectual property), but several key R&D personnel have left in recent years (brain drain). At the same time, competitor A has applied for a number of related patents in similar fields and has had multiple lawsuits with other companies over patent infringement (public litigation information). Based on this information, target company risk information and target company intellectual property development recommendation information are generated. The target company risk information includes: the target company's gene editing technology may face challenges in technological breakthroughs, and competitor A's patent layout may pose a threat to its market entry. At the same time, brain drain may slow down the progress of technology development. The target company intellectual property development recommendation information includes suggestions to strengthen talent training and introduction, while optimizing the existing intellectual property layout, and may need to enhance technical strength through mergers and acquisitions or cooperation to meet the challenges of competitors.

[0026] In summary, the enterprise intellectual property digital asset confirmation management method proposed in the embodiment of the present application can comprehensively assess the intellectual property risk of the enterprise by collecting the target enterprise's own intellectual property feature information, talent outflow information, competitor's public intellectual property feature information and public litigation information. This multi-dimensional information integration helps to identify risk factors that may be overlooked, such as technical barriers, patent gaps and competitors' patent threats. By comprehensively analyzing the intellectual property layout of its own intellectual property and external competitors, it is possible to effectively identify the potential intellectual property risks faced by the enterprise. By collecting and analyzing the talent outflow information of the target enterprise, it is possible to assess the potential impact of talent loss on the enterprise's technology research and development and intellectual property development. Enterprises can take timely measures, such as strengthening talent introduction and training, to ensure that technological innovation is not affected. Based on the above risk assessment results, the system can provide specific intellectual property development recommendations for enterprises. These suggestions can help enterprises optimize patent layout, formulate technological innovation directions, and enhance the technological competitiveness of enterprises through cooperation and mergers and acquisitions. The use of data-driven methods for intellectual property confirmation management can provide more scientific and reasonable decision-making support. Enterprises can make strategic adjustments based on data analysis results to enhance their competitiveness in the market. By tracking competitors' dynamics and legal dispute information in the industry in real time, companies can respond to market changes and risks more agilely, helping them maintain a sustained competitive advantage in a dynamic competitive environment. Compared with traditional intellectual property management methods, the present invention provides a more comprehensive, real-time and accurate risk assessment and management method by integrating proprietary intellectual property, talent outflow information, and intellectual property and litigation information of competing companies. This method not only helps companies identify potential intellectual property risks in advance, but also provides companies with customized intellectual property development advice, thereby helping them better optimize their intellectual property layout, enhance technological competitiveness, and effectively respond to rapid changes and challenges in the market.

[0027] In a feasible implementation manner, the above-mentioned determination of target enterprise risk information and target enterprise intellectual property development recommendation information based on the above-mentioned proprietary intellectual property feature information, the talent outflow information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information includes: Determine the target enterprise risk information based on the above-mentioned proprietary intellectual property feature information, the above-mentioned talent outflow information and the above-mentioned public intellectual property feature information; Determine the target enterprise's recommended information on intellectual property development based on the above-mentioned proprietary intellectual property information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information.

[0028] Exemplarily, the characteristic information of owned intellectual property rights includes but is not limited to the specific content of the intellectual property rights such as patents, trademarks, copyrights, etc. owned by the target enterprise, such as technical fields, innovation points, patent applications and authorization status, etc. By analyzing this information, it is possible to evaluate the advantages of enterprises in technological innovation, possible patent gaps, and whether there are barriers in the technical field or lack of sufficient patent protection. For example, a target enterprise has a unique artificial intelligence (AI) technology patent, but the technical field covered by the patent is relatively narrow and may face substitution by other innovative technologies in the industry. Such analysis results suggest that enterprises may encounter challenges in certain technical fields.

[0029] Information on talent outflow includes personnel turnover within the company's internal technical team and the resignation of R&D personnel. The loss of talent may weaken the ability to innovate technology and affect the effective development of existing intellectual property rights. By analyzing information on talent outflow, companies can identify potential faults in technology R&D and breaking points in technology accumulation. For example, several key people in the company's core R&D team have resigned, especially those involved in a key technology. This will directly affect the iteration and update of the technology and the effective protection of patents, creating potential risks.

[0030] Public intellectual property feature information refers to intellectual property information such as patents and trademarks disclosed by competitors in the public domain. This information can help evaluate competitors' technology trends and patent layout, and then identify possible patent infringement risks or technical challenges. For example, a competitor has just applied for a new patent similar to the target company's patent, which indicates that the target company may face the risk of patent infringement litigation or may lose its technological advantage in future market competition.

[0031] By comprehensively analyzing the above three types of information (property characteristics information, talent outflow information, and competitor's public intellectual property characteristics information), the target enterprise's risk information can be determined. This information together reveals the target enterprise's potential risks in technology, talent and market. For example, patent gaps in the technology field, technology gaps caused by talent outflow, and technology threats from competitors.

[0032] Own intellectual property information reflects the current technology and market position of the enterprise. By analyzing this information, it is possible to identify whether the enterprise needs to strengthen its intellectual property layout, such as enhancing technical barriers and market competitiveness through patent applications and trademark registrations. For example, the target enterprise has a number of technical patents, but has not yet obtained patent protection in certain key market areas. Based on this information, it can be recommended that the target enterprise expand its patent layout and increase defensive protection of the market.

[0033] By analyzing competitors' public intellectual property information, companies can discover competitors' technological progress in the same field, evaluate competitors' technological advantages and the strength of their patent layout. This will provide target companies with references on future technological innovation directions and patent layout. For example, competitor B has applied for multiple patents in the core technology field of the target company, and these patents cover technical details that have not yet been disclosed in the market. At this time, the target company can be advised to strengthen its technology research and development in this field to avoid being surpassed by competitors, and take countermeasures when necessary.

[0034] Public litigation information reveals the legal disputes of the target enterprise and its competitors in intellectual property, especially those involving patent infringement, trademark disputes, etc. By analyzing this information, enterprises can assess the intellectual property risks in the current legal environment, predict possible litigation threats, and take preventive measures. For example, a competitor is engaged in a fierce legal battle with other companies over patent infringement. At this time, the target enterprise can be warned to avoid entering into similar patent disputes or prepare strategies to deal with patent litigation. Combining its own intellectual property, competitors' public intellectual property and litigation information, enterprises can obtain targeted intellectual property development recommendations. These suggestions include but are not limited to: strengthening patent applications, optimizing technological innovation directions, adjusting market strategies, improving patent barriers, and strengthening patent monitoring of competitors. Enterprises can formulate intellectual property strategies that are more in line with the current market situation and their own development needs based on these recommendations. This embodiment helps target enterprises identify and respond to potential risks in the field of intellectual property through multi-dimensional risk analysis and development recommendations, while providing targeted suggestions to optimize the intellectual property strategy of enterprises, thereby enhancing the competitiveness and continuous innovation capabilities of enterprises in the market.

[0035] In a feasible implementation manner, the target enterprise risk information is determined based on the self-owned intellectual property feature information, the talent outflow information and the public intellectual property feature information, including: Classify according to the above-mentioned proprietary intellectual property characteristic information and the above-mentioned public intellectual property characteristic information; Obtaining the intellectual property similarity information and intellectual property leadership information of the same type based on the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information of the same type; Performing inventor comparison operation based on the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information to obtain inventor similarity information; The target enterprise risk information is determined based on the intellectual property similarity information, the intellectual property leadership information and the inventor similarity information.

[0036] For example, first, the target enterprise's own intellectual property feature information and the public competitor's intellectual property feature information are classified. The purpose of classification is to group intellectual property in similar fields together to facilitate subsequent analysis.

[0037] The characteristic information of proprietary intellectual property rights includes the specific contents of the intellectual property rights such as patents, trademarks, copyrights, etc. owned by the target enterprise, such as the technical field, patent type (invention patents, utility model patents, etc.), and the geographical coverage of patents. The characteristic information of public intellectual property rights includes information such as public patents and trademarks of competitors, market stakeholders, and other enterprises in the same technical field. By classifying this information, it is possible to identify the overlaps and gaps in the technical fields between the target enterprise and its competitors, the innovative points, and the potential technical barriers. Through this classification step, enterprises can clearly identify which fields of technology are most vulnerable to threats from competitors and which fields of technology have strong technical barriers.

[0038] Compare the target company's own intellectual property with the competitor's public intellectual property and calculate the similarity between them. Similarity can be quantified by the degree of overlap in technical points and technical fields. For example, if the target company's patent and the competitor's patent describe similar technical implementation solutions, then the similarity between the two is high. Intellectual property with high similarity means that competitors may file patent infringement lawsuits against these technologies, or the target company may face the risk of technology being imitated.

[0039] After determining the similarity of intellectual property rights, it is necessary to evaluate the leading position of the target company in similar technology fields. Leading information is evaluated by comparing the target company's technological update level with its competitors, patent application time, technology development stage and other indicators. Patents with high leading degrees indicate that the target company has obvious technological advantages in this technology field and can maintain competitiveness in the market.

[0040] By comparing the inventor information in the intellectual property of the target company and competitors, assess whether there is a risk of technological cooperation, technology transfer or potential technology loss. Especially in the field of key technologies, inventors may move between different companies or have cooperative relationships. By comparing the similarity of inventors, it is possible to identify whether the target company is facing the problem of loss of key technical talents, or whether there are competitors who shorten the distance of technological research and development by cooperating with or poaching inventors. For example, the target company and competitor A have a highly overlapping list of inventors, and these inventors are involved in the core technology of the company. If these inventors have worked in the target company, there may be a risk of intellectual property rights being misappropriated by competitors. Therefore, such risks can be discovered in advance through inventor similarity information.

[0041] Based on the intellectual property similarity information, the target enterprise may face risks of patent infringement, technology imitation, etc. For example, if the patents of the target enterprise and competitor A are highly similar in technology implementation, and the competitor has applied for similar patents, then the target enterprise may encounter patent disputes.

[0042] Based on the leading degree information, the target enterprise may face the risk of losing its technological leadership. For example, if competitor B has submitted multiple highly innovative patents in a similar field and its technology update speed exceeds that of the target enterprise, this may mean that the target enterprise is gradually falling behind in this technology field and faces the risk of being eliminated by the market.

[0043] Based on the inventor similarity information, the target company may have the risk of losing key technical personnel. For example, several key technical personnel have worked in the target company and participated in the research and development of important patents, but later joined competitors. This may affect the target company's technological research and development, or its intellectual property rights may face external threats.

[0044] This embodiment helps enterprises accurately identify potential intellectual property risks by conducting a multi-dimensional comprehensive analysis of proprietary intellectual property feature information, brain drain information, and public intellectual property feature information, using similarity analysis, leading evaluation, and inventor comparison. This method can not only help enterprises understand their strengths and weaknesses in technological innovation and intellectual property protection, but also effectively warn of threats from competitors and brain drain, thereby formulating a more scientific and reasonable intellectual property development strategy.

[0045] In a feasible implementation manner, the above-mentioned obtaining the intellectual property similarity information and intellectual property leading information of the same type based on the above-mentioned self-owned intellectual property feature information and the above-mentioned public intellectual property feature information includes: Calculate the patent similarity assessment value, technological achievement similarity assessment value, trademark similarity assessment value and copyright work similarity assessment value based on the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information; Determine the above intellectual property similarity information based on the above patent similarity assessment value, the above technological achievement similarity assessment value, the above trademark similarity assessment value and the above copyright work similarity assessment value; Calculate the patent leadership evaluation value, technological achievement leadership evaluation value, trademark leadership evaluation value and copyright work leadership evaluation value based on the above-mentioned proprietary intellectual property characteristic information and the above-mentioned public intellectual property characteristic information; The above-mentioned intellectual property leadership information is determined based on the above-mentioned patent leadership evaluation value, the above-mentioned technological achievement leadership evaluation value, the above-mentioned trademark leadership evaluation value and the above-mentioned copyright work leadership evaluation value.

[0046] For example, the patent similarity evaluation value It can be calculated by the following formula: in, is the patent text similarity, For similarity in patent technology fields, ClaimSim is the patent claim similarity, are the similarity weight coefficients of text, technology, and claims respectively, is the time decay reduction factor. is the innovation attenuation factor, is the patent application date, is the patent technology innovation score, T Max is the maximum difference in patent application dates, S Max It indicates the maximum value of technology protection intensity or market share and is used to standardize technology leadership.

[0047] Similarity evaluation value of technical achievements It can be calculated by the following formula: Among them, CiteSim FieldSim is the literature citation similarity. is the subject field similarity, KeywordSim is the similarity of technical achievement keywords, is the weight coefficient of each similarity, is the method similarity attenuation factor, is the experimental result similarity attenuation factor, is the similarity score of the research method, R MAX is the maximum value of the similarity of the research methods, It is the similarity score of the experimental results.

[0048] Trademark Similarity Assessment Value It can be calculated by the following formula: in, is the trademark image similarity, PhonSim is the trademark pronunciation similarity, is the similarity of trademark meaning, is the weight coefficient of each similarity, Design difference attenuation factor for vision, is the attenuation factor of the difference in trademark registration volume, To differentiate the visual design of the trademark, Difference in trademark registration volume, Registration time for two trademarks.

[0049] Copyright work similarity assessment formula value It can be calculated by the following formula: in, StructureSim is the similarity of the text content of copyrighted works. For the structural similarity of copyrighted works, MediaSim is the cross-media content similarity, The weights of each similarity are collected. is the content difference attenuation factor, is the attenuation factor of the difference in expression, The diversity of the creative content of copyrighted works, The differences in the forms of expression of copyrighted works.

[0050] In addition to considering the similarity of patents (text, technology, and claims), the patent leadership assessment also needs to consider the patent application time and the leading position of technological development. The time factor is the key to judging the innovation and influence of a patent in the field of technology.

[0051] in: is the patent text similarity, For similarity in patent technology fields, ClaimSim is the patent claim similarity, are the similarity weight coefficients of text, technology, and claims respectively, is the weight coefficient, which adjusts the impact of time difference on leading degree. T1 and T2 are the application time of the two patents (the earlier the patent, the more technologically innovative it is). Max The maximum application time difference within the patent technology field (used for normalization). The larger the time difference, the more it can show the technological leadership, because early patents are often pioneers and have innovation advantages.

[0052] Evaluation value of leading degree of technological achievements It can be calculated by the following formula: Among them: CiteSim FieldSim is the literature citation similarity. is the subject field similarity, KeywordSim is the similarity of technical achievement keywords, is the weight coefficient, which adjusts the impact of citation times on the leading degree of technological achievements. is the weight coefficient of each similarity, is the similarity score of the research method, R MAX is the maximum value of the similarity of research methods. For technical achievements, the number of citations and the order of publication directly reflect the influence of the technology. The results published earlier are usually more leading.

[0053] Trademark leadership evaluation value Calculated by the following formula: in: is the trademark image similarity, PhonSim is the trademark pronunciation similarity, is the similarity of trademark meaning, is the weight coefficient, which adjusts the impact of time difference on the leading degree of trademarks. is the weight coefficient of each similarity, T1, T2: the registration time of the trademark. MAX is the maximum time difference in trademark market recognition, which serves as a normalization factor.

[0054] Copyright work leading evaluation value Calculated by the following formula: in: StructureSim is the similarity of the text content of copyrighted works. For the structural similarity of copyrighted works, MediaSim is the cross-media content similarity, The weight coefficient of each similarity, is the weight coefficient, which adjusts the impact of creation time on copyright leadership. L1, L2: creation time of copyrighted works, The biggest difference in the time of creation of copyrighted works, used for normalization. The leading degree of copyrighted works, especially in the time of creation, determines the market influence of the works. Older works usually occupy a larger market share and are more influential.

[0055] The intellectual property similarity information can be obtained by weighted summing up the above similarity values, and the intellectual property leadership information can be obtained by weighted summing up the above leadership values.

[0056] In a feasible implementation manner, the inventor comparison operation is performed based on the self-owned intellectual property feature information and the public intellectual property feature information to obtain inventor similarity information, including: According to the above-mentioned proprietary intellectual property feature information and the above-mentioned public intellectual property feature information, information on inventor technical field overlap, inventor position matching information, inventor skill matching information and intellectual property disclosure time information are obtained; The inventor similarity information is calculated based on the inventor's technical field overlap information, the inventor's position matching information, the inventor's skill matching information and the intellectual property disclosure time information.

[0057] For example, the overlap in technical fields is the degree of overlap between the patents or technical achievements of the inventors and the target technical fields. If two inventors have multiple inventions or patents in the same technical field, this indicates that their technical backgrounds are relatively similar. The degree of overlap can be measured by comparing the field labels or classification standards of the inventions. It can be expressed as: Common Fields refers to the technical fields shared by two inventors, that is, the fields that appear simultaneously in the technical fields of the two inventors. and Respectively represent inventor A and inventor B in the technical field The number of patents in the same field, min and max: represent the minimum and maximum number of patents of the two inventors in the same field, respectively. Compare the number of patents in each common technical field, take the minimum value to calculate the number of overlapping patents, and divide it by the maximum value to measure the overlap. The overlap value ranges from 0 to 1. The closer it is to 1, the more similar the number of patents of the inventors in these fields is, and the closer the technical fields are.

[0058] Assume that inventor A has 5 patents in field A, 3 patents in field B, and 2 patents in field C; inventor B has 4 patents in field A, 2 patents in field B, and 6 patents in field D.

[0059] Inventor A and Inventor B have the same The overlap is: Inventor A and Inventor B have the same The overlap is: Overall technical overlap: Inventor and inventor The overlap in the technical field of the common field is 0.7333, indicating that their technical backgrounds in these two fields are similar. .

[0060] Inventor job matching refers to the matching degree of the inventor's job position. For example, if two inventors are both the chief technology officer (CTO) or director of a research institute of a company, it may indicate that they are similar in technology management. Job matching can usually be quantified by job level, scope of responsibilities, etc. Assuming that the inventor's job level can be represented by a scoring system (for example, CTO is 5 points, manager is 3 points, etc.), then the job matching degree is It can be defined as the similarity between the job scores of two inventors: in, and Scoring for both inventor positions.

[0061] Skill matching refers to the similarity of two inventors in terms of technical capabilities or skills. This can be measured by the technical details or keywords in their patents, technical depth, etc. The degree of skill matching can be calculated by comparing the similarity of the solutions proposed by the two inventors to similar technical problems. Assume that the skill matching of the two inventors can be measured by the weight of the technical keywords or technical details in their patents. It can be calculated using methods such as cosine similarity: in, and is the skill vector of the two inventors in the technical field, It is the dimension of skill characteristics.

[0062] Specifically, suppose we have three technical keywords: "deep learning", "image processing", and "data analysis". For an inventor, we can construct the following skill vector: Keywords (dimensions 1-3): “deep learning”: 0.8, “image processing”: 0.7, “data analysis”: 0.6.

[0063] Technical fields (dimensions 4-6): “Computer science”: 0.9, “Data science”: 0.6, “Image processing”: 0.8.

[0064] Technical depth (dimensions 7-9): “Algorithm optimization”: 0.9, “Model training”: 0.7, “Data cleaning”: 0.6.

[0065] The skill vector of this inventor may be a vector like this: [0.8, 0.7, 0.6, 0.9, 0.6, 0.8, 0.9, 0.7, 0.6]. Using this skill vector, we can make comparisons between multiple inventors and calculate their skill similarity using methods such as cosine similarity.

[0066] The IP publication time information refers to the closeness of the patent publication time of two inventors. This information indicates that the two inventors have inventions at similar times, which may reflect similar innovation timing. Calculation method: The time difference between the publication of patents can be calculated to measure the time closeness. Assume that the patent publication time of the two inventors is and , time matching It can be expressed as: in, is the maximum possible time span (e.g., 5 years), It is the absolute difference between the two publication times.

[0067] Final inventor similarity All the above information can be combined for calculation. A possible weighted average formula is: In the formula, is the final inventor similarity, is the weight of the matching degree in the technical field, is the overlap of technical fields, is the weight of job matching, For job matching, is the weight of skill matching, For skill matching, is the weight of time matching, For time matching.

[0068] In a feasible implementation manner, the above-mentioned determination of the above-mentioned target enterprise risk information based on the above-mentioned intellectual property similarity information, the above-mentioned intellectual property leading information and the above-mentioned inventor similarity information includes: Obtain the target company's business scope information; Determine the risk weight information corresponding to the intellectual property similarity information, the intellectual property leadership information and the inventor similarity information based on the business scope information; The target enterprise risk information is determined based on the intellectual property similarity information, the intellectual property leadership information, the inventor similarity information and their corresponding risk weight information.

[0069] For example, obtain the target enterprise's business scope information. Business scope generally refers to the types and fields of business that an enterprise can engage in within the scope permitted by law. This information helps determine the technical fields, product types and markets that the enterprise may be involved in, as well as their innovation activities or patent layout in these fields.

[0070] The business scope can be defined based on but not limited to the following key factors, such as: technological innovation, market competitiveness, technological complexity and industry maturity. Technological innovation: Some industries may have high requirements for technological innovation, rapid technological updates, and greater risks. Market competitiveness: In industries with fierce market competition, the overlap and leadership of their technologies and patents may have a greater impact on the company. Technological complexity: Some industries (such as high-tech, energy, etc.) have high requirements for technology and may need to pay attention to the similarity and leadership of patents. Industry maturity: Some mature industries may have relatively stable patents and technologies and are not easily affected by external competition. Based on these factors, the business scope can be divided into several categories, such as: high-tech industries, mature markets, emerging markets, low-tech industries, etc.

[0071] Formulate different information risk weight combinations for different business scopes: A: High-tech industries (such as new energy, high-end manufacturing, smart devices, etc.) usually have rapid technological updates, fierce market competition, and require high technological innovation. The similarity and leading nature of patents are very important. The following information risk weight combinations can be arranged: Intellectual property similarity information: High. A high degree of overlap in technical fields will bring greater risks. The weight is set to 0.40.

[0072] Intellectual property leadership information: High, technological leadership directly affects market position. The weight is set at 0.35.

[0073] Inventor similarity information: Medium, the technology field is highly competitive, but the similarity between inventors may be low. The weight is set to 0.25.

[0074] B: Mature markets (such as home appliances, traditional manufacturing, etc.). In mature markets, there may be less technological innovation, and the similarity of patents and technological leadership have less impact on company risks. The following information risk weight combinations can be arranged: Intellectual property similarity information: Medium, the technical field may be relatively stable, and the patent overlap is low. The weight is set to 0.30.

[0075] Intellectual property leadership information: Medium, relatively less technological innovation, leading influence is small. The weight is set at 0.30.

[0076] Inventor Similarity Information: Low, similarity between inventors may not be a major risk. The weight is set to 0.20.

[0077] C: Emerging markets (such as artificial intelligence, biotechnology, etc.). Technologies in emerging markets are usually highly innovative and competition is increasingly fierce, so the leading and innovative nature of technology is relatively important. The following information risk weight combinations can be arranged: Intellectual property similarity information: Medium, the technological innovation is high, and the overlap of patents may be low. The weight is set to 0.30.

[0078] Intellectual property leadership information: High, technological leadership will determine the market competitiveness of technology. The weight is set at 0.40.

[0079] Inventor similarity information: High, the similarity between inventors may affect the competitiveness of the patent. The weight is set to 0.30.

[0080] D: Low-tech industries (such as traditional agriculture, basic materials, etc.). Low-tech industries usually have slower technological development, lower patent overlap, and less impact of technological leadership on market competition. The following information risk weight combinations can be arranged: Intellectual property similarity information: Low, the competition in the technology field is not fierce, and the patent overlap is low. The weight is set to 0.20.

[0081] Intellectual property leading information: low, low technological innovation. The weight is set at 0.25.

[0082] Inventor similarity information: Low, the similarity between inventors in the technical field is low, and the impact is small. The weight is set to 0.15.

[0083] Finally, based on the above-mentioned various intellectual property information and their corresponding risk weights, the risk information of the target enterprise can be comprehensively evaluated. The risk information of the target enterprise can be determined by weighted summation, and the risk level can be determined according to the total score. Or different risk types can be determined according to different types of risk scores. Different risk types include legal risks, technical competition risks, market uncertainties, etc. that the enterprise may face. In this way, it can help decision makers or investors to understand the potential risks of the enterprise more comprehensively.

[0084] In a feasible implementation manner, the above-mentioned determination of the target enterprise's intellectual property development recommendation information based on the above-mentioned self-owned intellectual property information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information includes: Determine the intellectual property optimization layout information based on the above-mentioned proprietary intellectual property information and the above-mentioned public intellectual property characteristic information; Exemplarily, proprietary intellectual property information refers to the intellectual property (such as patents, trademarks, copyrights, etc.) currently owned by the target enterprise. Proprietary intellectual property information includes the number, type, and geographical coverage of intellectual property. Public intellectual property characteristic information refers to the intellectual property information disclosed in the industry, such as the patent layout of peer companies, industry trends, etc. Public intellectual property characteristic information helps to understand the direction of technological development in the industry and the intellectual property layout of competitors. By analyzing the proprietary intellectual property of the target enterprise and the public intellectual property characteristic information of the industry, a reasonable intellectual property layout strategy can be formulated for the enterprise. For example, if the company's patents are concentrated in a specific technical field, and other companies in the industry already have a strong layout in this field, then it may be necessary to adjust the layout, expand to other technical fields, or increase international layout.

[0085] In a feasible implementation manner, the above-mentioned determination of the intellectual property optimization layout information based on the above-mentioned self-owned intellectual property information and the above-mentioned public intellectual property characteristic information includes: Determine technical layout suggestions based on the above-mentioned proprietary intellectual property information and the above-mentioned public intellectual property feature information; Obtain information on the current state of technological development in different regions; The above-mentioned intellectual property optimization layout information is determined based on the above-mentioned technology development status information of different regions and the above-mentioned technology layout suggestions.

[0086] Exemplarily, natural language processing is used to extract key technical keywords in patent abstracts and claims. Patent technology themes are clustered through the LDA topic model to identify high-frequency technology fields (such as "5G communication" and "AI chip"). Patent technology entities (such as materials, processes, and equipment) are associated as graphs, and graph neural networks (GNNs) are used to discover insufficiently connected technology nodes (potential blank spots). Based on patent text vectorization (such as Doc2Vec) and cosine similarity algorithms, low-similarity technology combinations are screened as innovation directions. Based on the characteristics of competitor patent layout density, litigation frequency, etc., high-infringement risk technology fields are predicted, and technology layout suggestions are generated. Technology layout suggestions include recommended R&D directions, high-risk technology avoidance lists, and patent portfolio optimization strategies.

[0087] Information on the current status of technological development in different regions includes technological development data and local policy and market data. Technological development data include but are not limited to the number of patent authorizations, the number of scientific research papers, and the technology transfer rate of various countries. Policy and market data include but are not limited to government subsidy policies, the level of industrial chain supporting facilities, and the market size growth rate. The K-means clustering algorithm is used to divide regions into "technologically advanced areas", "developing areas", and "lagging areas". The weights of each indicator are calculated based on the entropy method, and the regional technological development levels are ranked in combination with the TOPSIS algorithm. Policy conditions (such as "R&D investment accounted for ≥5%" and "invention patents ≥10") are encoded as logical rules to automatically match enterprise qualifications. Simulate policy application strategies and optimize the application order to maximize policy dividends. Thus, a regional technological development portrait is obtained, which includes the technology maturity level, policy matching score, and market potential forecast.

[0088] The objective function is to maximize the intensity of technical protection, minimize the risk of infringement, and maximize policy benefits: Maximize technical protection strength : It is assumed that the strength of technological protection depends on factors such as the quantity and quality of patent layout and technological leadership.

[0089] in, It is The strength of protection of a region or technology (which can be measured by patent quality, market share, etc.), is the weight of the technology or region.

[0090] Minimize the risk of infringement :The infringement risk is related to factors such as the degree of patent competition and the regional legal environment.

[0091] in, It is Infringement risks in different regions is the strength of legal protection or the incidence of patent disputes in the region.

[0092] Maximizing policy benefits : Policy benefits can be measured by factors such as government incentives, tax incentives, and R&D funding.

[0093] in, It is The intensity of policy support in each region is the weight of policy support.

[0094] Taking R&D budget, regional cultural differences, and patent maintenance costs as constraints: R&D budget constraints :Assume that the company's R&D budget is , the patent layout and R&D investment in each region need to be controlled within the budget.

[0095] in, It is in R&D investment in a region or technology area, is the investment decision variable for the region or technology (0 or 1, indicating whether to invest in the region).

[0096] Restrictions due to regional cultural differences :Regional cultural differences affect the degree of cooperation between enterprises in different regions. Assume that through a fitness function To measure cultural differences.

[0097] in, Represents the impact weight of cultural differences.

[0098] Patent maintenance cost limitations : Patent maintenance costs per region Budget constraints need to be met.

[0099] in, It is Patent maintenance costs in each region, It is the upper limit of patent maintenance costs set by the enterprise.

[0100] A multi-objective genetic algorithm is used to generate a Pareto optimal solution set, and a Markov decision process is used to simulate the long-term benefits of different layout strategies: A multi-objective genetic algorithm is used to optimize these objective functions and generate a Pareto optimal solution set. The specific steps are as follows: 1. Initialize the population: Randomly generate the initial population, each individual represents an intellectual property layout system.

[0101] 2. Fitness evaluation: According to the objective function value (such as ) Calculate the fitness of each individual.

[0102] 3. Selection operation: Select graceful individuals according to non-dominated sorting.

[0103] 4. Crossover operation: Crossover selected individuals to generate new individuals, simulating the gene recombination process.

[0104] 5. Mutation operation: mutate individuals to simulate gene mutation and increase the search space.

[0105] 6. Generate the next generation: Generate the next generation population based on fitness selection and crossover mutation.

[0106] 7. Termination condition: Stop when the set maximum number of generations is reached or a certain convergence criterion is met.

[0107] Use the Markov decision process to simulate the long-term benefits of different layout strategies and select the optimal action path. Assuming we have multiple states and actions, the basic components include: State Space : Indicates different intellectual property layout status, such as patent layout status in different regions.

[0108] Action Space : Indicates possible layout actions, such as choosing which regions to apply for patents and which technology fields to deploy.

[0109] Transition probability : Indicates that the state Next Action After transfer to state probability.

[0110] Reward Function : Indicates that the state Next Action The immediate benefits obtained may be related to the intensity of technology protection, policy benefits, etc.

[0111] Discount Factor : Used to balance long-term and short-term gains.

[0112] According to the definition of MDP, long-term benefits are solved through value iteration or strategy iteration. For each possible layout strategy, its long-term benefit (i.e. expected return) can be calculated.

[0113] The value iteration formula is: in, is in state The value function under represents the long-term benefit after taking the best action from this state.

[0114] The policy iteration process includes: 1. Strategy evaluation: Calculate the value function of each state under the current strategy .

[0115] 2. Strategy improvement: Select the optimal action based on the value function and update the strategy.

[0116] 3. Convergence condition: Stop iteration when the strategy no longer changes.

[0117] 4. Generate an optimized layout plan for intellectual property rights.

[0118] Based on the Pareto optimal solution set obtained by the genetic algorithm and the optimal action path obtained through MDP simulation, the final intellectual property optimization layout plan is generated. According to the advantages and market demand of different technical fields, a reasonable technology combination is designed and deployed in the most suitable region. According to the infringement risk analysis and policy support, a risk avoidance roadmap for patent layout is formulated to avoid high-risk areas and increase the layout in low-risk and high-yield areas.

[0119] Determine intellectual property infringement risk information based on the above public litigation information and the above owned intellectual property information; Exemplarily, public litigation information refers to information about intellectual property litigation cases involving the target company and its competitors, which can usually be obtained through public legal documents or court decisions. These litigation information reflect the hot issues of intellectual property disputes in the industry and help companies understand potential infringement risks. Proprietary intellectual property information refers to intellectual property information such as patents and trademarks owned by the target company itself. Combining this information with public litigation cases can assess the infringement risk of the company in the field of intellectual property. For example, if a patent technology of an enterprise is similar to a patent technology that is being sued, the infringement risk faced by the enterprise may be higher. Based on these analysis results, enterprises can conduct risk assessments on existing intellectual property rights, make adjustments as needed, and take measures to reduce infringement risks, such as technical bypassing and patent pool cooperation.

[0120] In a feasible implementation manner, the above-mentioned determination of the intellectual property infringement risk information based on the above-mentioned public litigation information includes: Extract infringing technology information, infringement compensation information and judgment time information based on the above public litigation information; The above-mentioned intellectual property infringement risk information is determined based on the above-mentioned infringing technical information, the above-mentioned infringement compensation information and the above-mentioned judgment time information.

[0121] Exemplarily, the infringing technical information refers to the technical fields, patent numbers and related technologies involved. By using NLP technology to process the text of the litigation case, the following data can be extracted, such as the technical fields: "artificial intelligence", "communication technology", "medicine", etc., and the technical fields involved in the case can be automatically identified through the text classification algorithm. Patent number and technical features: The patent number and technical features involved in the litigation are extracted through regular expressions or named entity recognition (NER) technology.

[0122] Using BERT for text classification, we can predict the technical fields involved based on the content of the judgment. We can also extract key entities such as patent numbers and technology names through named entity recognition.

[0123] Compensation information mainly includes the amount of compensation determined by the court and its type. To extract this information, it is necessary to analyze the relevant parts from the judgment to obtain data such as the amount of compensation, the form of compensation (such as direct loss or punitive damages), etc. Use NLP technology to extract the amount of compensation (digital extraction) and the type of compensation (punitive damages, actual loss, etc.) in the judgment. Use regression analysis to predict the range of compensation amounts for different technical fields and patents.

[0124] Judgment time information includes the time from prosecution to judgment of a case. The prosecution date and judgment date of the case are extracted from the litigation data to calculate the case cycle. The time required for different types of cases and cases in different technical fields is analyzed to find potential patterns.

[0125] The extracted infringement technical information, infringement compensation information and judgment time information are combined, the infringement risk is calculated using an intelligent algorithm, and a random forest is used to establish a comprehensive risk assessment model to determine the above intellectual property infringement risk information based on the infringement technical information, infringement compensation information and judgment time information.

[0126] Determine the recommended information on intellectual property development for the above-mentioned target enterprise based on the above-mentioned intellectual property optimization layout information and the above-mentioned infringement risk information.

[0127] Exemplarily, the final recommendation information will include technology layout suggestions, risk avoidance list, patent portfolio optimization strategy, regional technology layout suggestions and long-term benefit strategy. Technology layout suggestions mainly include which technology fields and technology directions have the greatest potential and which technologies need to be avoided. The risk avoidance list mainly includes high-risk technology fields and high-compensation infringement cases, which companies need to avoid. Patent portfolio optimization strategy mainly includes optimizing the existing patent portfolio, increasing the protection of core patents, and reducing high-risk patents. Regional technology layout suggestions mainly include selecting priority layout regions based on regional technological development and policy support. The long-term benefit strategy simulates the long-term benefits of different layout strategies through the Markov decision process and provides the optimal decision path.

[0128] The embodiments of this application provide enterprises with a comprehensive intellectual property optimization layout plan by combining technical layout suggestions, infringement risk analysis and regional technology development status. Using natural language processing, topic models, graph neural networks, machine learning and Markov decision process intelligent algorithms, it can not only accurately analyze infringement risks, but also help enterprises optimize technology layout, avoid infringement risks, and maximize policy benefits on a global scale. Ultimately, enterprises can make the most favorable decisions based on these recommended information to ensure the security of intellectual property rights and maximize market benefits.

[0129] like Figure 2 As shown, the present application proposes an enterprise intellectual property digital asset confirmation management system 10, comprising: The first acquisition unit 101 is used to acquire the target enterprise's own intellectual property feature information and talent outflow information; The second acquisition unit 102 is used to acquire public intellectual property feature information and public litigation information of competing enterprises; The determination unit 103 is used to determine the target enterprise risk information and the target enterprise intellectual property development recommendation information based on the above-mentioned proprietary intellectual property feature information, the talent outflow information, the above-mentioned public intellectual property feature information and the above-mentioned public litigation information.

[0130] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application 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 embodiments of the present application.

Claims

1. A method for managing the confirmation of digital assets of enterprise intellectual property rights, characterized in that: include: Obtain the target company's proprietary intellectual property characteristics and talent outflow information; Obtain public intellectual property feature information and public litigation information of competing enterprises; The target enterprise risk information and the target enterprise intellectual property development recommendation information are determined based on the owned intellectual property feature information, the talent outflow information, the public intellectual property feature information and the public litigation information.

2. The enterprise intellectual property digital asset confirmation management method according to claim 1 is characterized in that: The step of determining the target enterprise risk information and the target enterprise intellectual property development recommendation information based on the owned intellectual property feature information, the talent outflow information, the public intellectual property feature information and the public litigation information includes: Determine the target enterprise risk information based on the proprietary intellectual property feature information, the talent outflow information and the public intellectual property feature information; The recommended information on intellectual property development of the target enterprise is determined based on the owned intellectual property information, the public intellectual property feature information and the public litigation information.

3. The enterprise intellectual property digital asset confirmation management method according to claim 2 is characterized in that: Determining the target enterprise risk information according to the proprietary intellectual property feature information, the talent outflow information and the public intellectual property feature information includes: Classify according to the proprietary intellectual property characteristic information and the public intellectual property characteristic information; Acquire the intellectual property similarity information and intellectual property leadership information of the same type according to the own intellectual property feature information and the public intellectual property feature information of the same type; Performing an inventor comparison operation based on the proprietary intellectual property feature information and the public intellectual property feature information to obtain inventor similarity information; The target enterprise risk information is determined based on the intellectual property similarity information, the intellectual property leadership information and the inventor similarity information.

4. The enterprise intellectual property digital asset confirmation management method according to claim 3 is characterized in that: The obtaining of the same type of intellectual property similarity information and intellectual property leading credibility information according to the same type of the own intellectual property feature information and the public intellectual property feature information includes: Calculate the patent similarity evaluation value, the technological achievement similarity evaluation value, the trademark similarity evaluation value and the copyright work similarity evaluation value based on the self-owned intellectual property characteristic information and the public intellectual property characteristic information; Determine the intellectual property similarity information according to the patent similarity evaluation value, the technological achievement similarity evaluation value, the trademark similarity evaluation value and the copyright work similarity evaluation value; Calculate the patent leadership evaluation value, the technological achievement leadership evaluation value, the trademark leadership evaluation value and the copyright work leadership evaluation value based on the proprietary intellectual property characteristic information and the public intellectual property characteristic information; The intellectual property leadership information is determined according to the patent leadership evaluation value, the technological achievement leadership evaluation value, the trademark leadership evaluation value and the copyright work leadership evaluation value.

5. The enterprise intellectual property digital asset confirmation management method according to claim 3 is characterized in that: The inventor comparison operation is performed according to the proprietary intellectual property feature information and the public intellectual property feature information to obtain inventor similarity information, including: According to the owned intellectual property feature information and the disclosed intellectual property feature information, information on overlapping inventor technical fields, inventor position matching information, inventor skill matching information and intellectual property disclosure time information are obtained; The inventor similarity information is calculated based on the inventor's technical field overlap information, the inventor's position matching information, the inventor's skill matching information and the intellectual property disclosure time information.

6. The enterprise intellectual property digital asset confirmation management method according to claim 3 is characterized in that: The determining of the target enterprise risk information based on the intellectual property similarity information, the intellectual property leading information and the inventor similarity information includes: Obtain the target company's business scope information; Determine risk weight information corresponding to the intellectual property similarity information, the intellectual property leadership information and the inventor similarity information based on the business scope information; The target enterprise risk information is determined according to the intellectual property similarity information, the intellectual property leadership information, the inventor similarity information and their corresponding risk weight information.

7. The enterprise intellectual property digital asset confirmation management method according to claim 2 is characterized in that: The determination of the target enterprise's recommended information on intellectual property development based on the owned intellectual property information, the public intellectual property feature information and the public litigation information includes: Determine the intellectual property optimization layout information according to the owned intellectual property information and the public intellectual property characteristic information; Determine intellectual property infringement risk information based on the public litigation information and the owned intellectual property information; Determine the target enterprise's recommended information on intellectual property development based on the intellectual property optimization layout information and the intellectual property infringement risk information.

8. The enterprise intellectual property digital asset confirmation management method according to claim 7 is characterized in that: The determining of the intellectual property optimization layout information according to the self-owned intellectual property information and the public intellectual property characteristic information includes: Determine a technical layout suggestion based on the proprietary intellectual property information and the public intellectual property feature information; Obtain information on the current state of technological development in different regions; The intellectual property optimization layout information is determined based on the technology development status information of the different regions and the technology layout suggestions.

9. The enterprise intellectual property digital asset confirmation management method according to claim 7 is characterized in that: The determination of intellectual property infringement risk information based on the public litigation information includes: Extracting infringing technology information, infringing compensation information and judgment time information based on the public litigation information; The intellectual property infringement risk information is determined based on the infringing technical information, the infringing compensation information and the judgment time information.

10. An enterprise intellectual property digital asset rights confirmation management system, characterized in that: include: The first acquisition unit is used to acquire the target enterprise's own intellectual property feature information and talent outflow information; The second acquisition unit is used to acquire public intellectual property feature information and public litigation information of competing enterprises; A determination unit is used to determine target enterprise risk information and target enterprise intellectual property development recommendation information based on the owned intellectual property feature information, the talent outflow information, the public intellectual property feature information and the public litigation information.