A scientific and technological information achievement management system

Abstract

The present application relates to the field of information processing technology, and in particular to a scientific and technological information achievement management system. The system includes: obtaining enterprise intellectual property information, analyzing the enterprise intellectual property information, and determining target field information; determining market field information based on the target field information; determining key dimension information based on the enterprise intellectual property information, the target field information, and the market field information; performing scenario planning on the enterprise intellectual property strategy based on the key dimension information, and determining a scenario development information set; and outputting the scenario development information set for enterprise reference. The present application performs scenario planning on the enterprise intellectual property strategy, and derives the development status of the enterprise intellectual property strategy under different scenarios, and outputs a scenario development information set for enterprise reference, predicting what may happen to the current intellectual property strategy in the future, helping enterprises to effectively respond to uncertainties and challenges, reduce intellectual property strategic risks, and make significant contributions to enterprise intellectual property strategic planning.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a scientific and technological information achievement management system. Background Art

[0002] With the rapid development of Internet technology, scientific and technological information results are showing a trend of migrating to the cloud to achieve the purpose of digital management and information sharing. Among them, the digital management of intellectual property information helps the storage and dissemination of intellectual property information, reduces the management cost of intellectual property information, and facilitates users to quickly retrieve the required intellectual property information.

[0003] However, the existing intellectual property information management system focuses on the maintenance and management of the intellectual property information itself, and lacks breadth and depth in the analysis dimension of intellectual property. As a result, the existing intellectual property information management system has an obvious "single informationization tendency" in the management of intellectual property information, and its ability to analyze and process intellectual property information is extremely limited, making it difficult to make significant contributions to the intellectual property strategic planning of enterprises. Summary of the invention

[0004] This application provides a scientific and technological information achievement management system to solve the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a scientific and technological information achievement management system, the system comprising:

[0006] Obtaining enterprise intellectual property information, analyzing the enterprise intellectual property information, and determining target field information;

[0007] Determine market field information based on the target field information;

[0008] Determining key dimension information based on the enterprise intellectual property information, the target field information and the market field information;

[0009] Based on the key dimension information, scenario planning is conducted for the enterprise's IP strategy to determine the scenario development information set;

[0010] Output the scenario development information set for enterprise reference.

[0011] This application determines the target field information pointed to by the enterprise intellectual property strategy based on the enterprise intellectual property information, and then analyzes the market field information based on the target field information. After comprehensively analyzing the enterprise intellectual property information, target field information and market field information, the key dimension information that will have a significant impact on the enterprise intellectual property strategy is determined. Then, based on the key dimension information, scenario planning is carried out for the enterprise intellectual property strategy, and the development status of the enterprise intellectual property strategy under different scenarios is obtained to determine the scenario development information set, and output the scenario development information set for the enterprise's reference, predicting what may happen to the current intellectual property strategy in the future, helping enterprises to effectively deal with uncertainties and challenges, reduce intellectual property strategy risks, and make significant contributions to the enterprise intellectual property strategy planning.

[0012] Optionally, analyzing the enterprise intellectual property information to determine target field information includes:

[0013] Analyze the enterprise intellectual property information and determine certain intellectual property information;

[0014] Analyze the intellectual property information to determine the set of fields involved;

[0015] Determine the number of intellectual property rights in each field of interest based on the plurality of intellectual property rights information and the set of fields of interest;

[0016] Constructing a co-occurrence matrix according to the plurality of intellectual property information and the set of fields involved;

[0017] According to the co-occurrence matrix and the number of intellectual property rights in each involved field, a core field set is determined, and the core field set is determined as the target field information.

[0018] Through the above technical solution, the intellectual property information of the enterprise is analyzed to obtain a number of intellectual property information, and on the basis of the several intellectual property information, a set of involved fields is determined, and the number of intellectual property under each involved field is obtained. On the basis of the several intellectual property information and the set of involved fields, a co-occurrence matrix is ​​constructed, and based on the several intellectual property information and the set of involved fields, a core field set is determined, and the core field set is determined as the target field information. The criticality of the involved fields is comprehensively measured by the number of intellectual property in each involved field and the number of co-occurrences in the co-occurrence matrix, so that the determination of the core fields is more accurate.

[0019] Optionally, the core field set is determined according to the co-occurrence matrix and the number of intellectual property rights in each involved field, referring to the following formula:

[0020] ;

[0021] in, is the core domain set, is the preset frequency weight, For the The number of IPs in the relevant fields, To preset the co-occurrence weights, is the first Areas of involvement and The number of co-occurrences corresponding to the involved fields; To iterate over all parameters ,Sure The core domain set corresponding to the maximum value; is the number of fields involved.

[0022] Through the above technical solution, mathematical analysis methods are used to design mathematical formulas based on the co-occurrence matrix, the number of intellectual property rights in each involved field, the preset frequency weights and the preset co-occurrence weights to quantitatively measure the criticality of each involved field, and identify several involved fields with the highest criticality as a core field set, so that several involved fields in the core field set are matched with the core fields of the enterprise's intellectual property strategy, making the subsequent analysis of the enterprise's intellectual property strategy more accurate.

[0023] Optionally, constructing a co-occurrence matrix according to the plurality of intellectual property information and the set of related fields includes:

[0024] According to the plurality of intellectual property information and the set of involved fields, the number of co-occurrences of any two involved fields in the set of involved fields in the plurality of intellectual property information is determined by the following formula:

[0025] ;

[0026] in, For the fields involved Related fields The number of co-occurrences in the said certain intellectual property information, For the Involved areas, For the Intellectual property information, For the Areas of involvement; is the number of fields involved;

[0027] The co-occurrence matrix is ​​determined according to the co-occurrence times of any two related fields.

[0028] Through the above technical solution, mathematical analysis methods are used to design mathematical formulas based on a number of intellectual property information and sets of involved fields. The number of co-occurrences of any two involved fields in all intellectual property information can be quickly and accurately calculated. Then, based on the number of co-occurrences of the two involved fields in all intellectual property information, a co-occurrence matrix is ​​constructed to reflect the mapping relationship between the co-occurrence number and the corresponding involved fields, thereby making the subsequent analysis of the company's intellectual property strategy more comprehensive and accurate.

[0029] Optionally, the number of intellectual property rights in each involved field is determined according to the plurality of intellectual property rights information and the involved field set, with reference to the following formula:

[0030] ;

[0031] in, For the The number of IPs in the relevant fields, For the Involved areas, For the Intellectual property information.

[0032] Through the above technical solution, mathematical analysis methods are used to design mathematical formulas based on a number of intellectual property information and a collection of involved fields, so as to quickly and accurately calculate the number of intellectual property in each involved field, making the judgment on the criticality of the involved fields more accurate.

[0033] Optionally, determining the market field information according to the target field information includes:

[0034] Analyze the core domain set and determine the level of each core domain;

[0035] According to the core domain set and each core domain level, determine a core domain set with a level label;

[0036] Convert all core domains in the core domain set with hierarchical annotations into several core domain feature vectors;

[0037] According to the core domain feature vectors and the preset market domain feature vector set, determining the correlation coefficient between each core domain feature vector and each market domain feature vector in the preset market domain feature vector set, and normalizing the correlation coefficient to determine a normalized coefficient value;

[0038] A core market field set is determined according to the core field feature vectors, the preset market field feature vector set and the normalization coefficient value, and the core market field set is determined as the market field set.

[0039] Through the above technical scheme, the core field set is analyzed, the level of each core field is determined, and then the core field set with level annotations is obtained, and all core fields in the core field set with level annotations are converted into a number of core field feature vectors. On the basis of the several core field feature vectors and the preset market field feature vector set, the correlation coefficient is determined, and the correlation coefficient is normalized. Finally, the core market field set is determined by combining the several core field feature vectors, the preset market field feature vector set and the normalization coefficient value, and the core market field set is determined as the market field set. Through the correlation between the feature vectors of core fields at different levels and the corresponding market field feature vectors, the matching degree between the market field and the core field is evaluated to determine the corresponding market field that is highly matched with the core field, thereby improving the accuracy of the market field set.

[0040] Optionally, according to the core domain feature vectors and the preset market domain feature vector set, a correlation coefficient between each core domain feature vector and each market domain feature vector in the preset market domain feature vector set is determined, and the correlation coefficient is normalized to determine a normalized coefficient value, referring to the following formula:

[0041] ;

[0042] in, For the The core domain feature vectors, For the The market domain feature vectors, The total number of core areas.

[0043] Through the above technical scheme, on the basis of several core field feature vectors and a preset market field feature vector set, the correlation between the core field feature vector and the corresponding market field feature vector is quantified through a mathematical formula to obtain a correlation coefficient, and the correlation coefficient is normalized to determine the normalized coefficient value, thereby improving the matching degree between the market field in the obtained core market field set and the corresponding core field. At the same time, by normalizing the correlation coefficient, the calculation speed and accuracy when determining the core market field set using mathematical analysis methods are improved.

[0044] Optionally, the core market field set is determined according to the core field feature vectors, the preset market field feature vector set and the normalization coefficient value, referring to the following formula:

[0045] ;

[0046] in, is the preset market field feature vector set, For the The core domain feature vectors, For the The market domain feature vectors, For the market domain feature vector level, For the market domain feature vector level, is the current traversal level, is the maximum level of the preset market domain feature vector set; is the indicator function; for the core market areas described; To iterate over all parameters ,Sure The core market area set corresponding to the maximum value.

[0047] Through the above technical solution, mathematical analysis methods are used to design mathematical formulas based on several core field feature vectors, preset market field feature vector sets and normalization coefficient values, traverse the market field feature vectors corresponding to each level in the preset market field feature vector set, and extract several market field feature vectors with the largest normalization coefficient values ​​to form a core market field set. At the same time, through the hierarchical constraint operation in the mathematical formula, the core market field is subdivided and the calculation efficiency is improved.

[0048] Optionally, performing scenario planning for the enterprise's intellectual property strategy based on the key dimension information to determine a scenario development information set includes:

[0049] Analyze the enterprise intellectual property information and determine the technical dimensions;

[0050] Analyze the market sector information and determine the market dimensions;

[0051] Determine the policy impact dimensions based on the target area information;

[0052] Analyze the technical dimension, the market dimension, and the policy impact dimension, and determine the corresponding current weight of each dimension;

[0053] A key dimension set is determined according to the technical dimension, the market dimension, the policy impact dimension and the corresponding current weight of each dimension, and the key dimension set is determined as the key dimension information.

[0054] Through the above technical solution, according to the enterprise intellectual property information, market field information and target field information, the technical dimension, market dimension and policy impact dimension are determined respectively, and the corresponding current weight of each dimension is analyzed to obtain the key dimension set, and the key dimension set is determined as the key dimension information to accurately reflect the impact of each dimensional information on the enterprise intellectual property strategy.

[0055] Optionally, performing scenario planning for the enterprise's intellectual property strategy based on the key dimension information to determine a scenario development information set includes:

[0056] According to the set of key dimensions, several development scenarios are set;

[0057] Constructing a scenario analysis model based on the set of key dimensions;

[0058] Based on the scenario analysis model, analyzing the several development scenarios, and determining the development trend of each dimension under different development scenarios;

[0059] According to the development trend of each dimension under different development scenarios, the scenario development information set is determined.

[0060] Through the above technical solution, several development scenarios are set according to the set of key dimensions, and a scenario analysis model is constructed. Through the scenario analysis model, several development scenarios are simulated and analyzed to determine the development trend of each dimension under different development scenarios, and then the scenario development information set is determined to predict the changes in the information of each dimension that has a significant impact on the enterprise's intellectual property strategy under different development scenarios, providing a comprehensive and detailed data basis for enterprises to adjust their intellectual property strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0062] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0063] Figure 2 A flowchart of a scientific and technological information achievement management system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme 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 part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0065] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0066] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0067] The existing intellectual property information management system focuses on the maintenance and management of the intellectual property information itself, and lacks breadth and depth in the analysis dimension of intellectual property. As a result, the existing intellectual property information management system has an obvious "single informationization tendency" in the management of intellectual property information, and its ability to analyze and process intellectual property information is extremely limited, making it difficult to make significant contributions to the intellectual property strategic planning of enterprises.

[0068] Based on this, the present application provides a scientific and technological information achievement management system, which determines the target field information pointed to by the enterprise intellectual property strategy according to the enterprise intellectual property information, and then analyzes the market field information based on the target field information. After comprehensively analyzing the enterprise intellectual property information, the target field information and the market field information, the key dimension information that will have a significant impact on the enterprise intellectual property strategy is determined. Then, based on the key dimension information, scenario planning is carried out for the enterprise intellectual property strategy, and the development status of the enterprise intellectual property strategy under different scenarios is obtained to determine the scenario development information set, and output the scenario development information set for the enterprise's reference, predicting what may happen to the current intellectual property strategy in the future, helping enterprises to effectively deal with uncertainties and challenges, reduce intellectual property strategic risks, and make significant contributions to the enterprise intellectual property strategic planning.

[0069] Figure 1 A schematic diagram of an application scenario provided for this application. In the process of an enterprise conducting intellectual property strategic planning, the system provided by this application is used to analyze the enterprise's intellectual property information and provide the corresponding scenario development information set to the enterprise for reference.

[0070] Specifically, the system provided by the present application is installed in any server, and the enterprise intellectual property information provided by the enterprise is obtained through the server. Based on the enterprise intellectual property information, the target field information pointed to by the enterprise intellectual property strategy is determined, and then the market field information is analyzed based on the target field information. After comprehensive analysis of the enterprise intellectual property information, the target field information and the market field information, the key dimension information that will have a significant impact on the enterprise intellectual property strategy is determined. Then, based on the key dimension information, scenario planning is carried out for the enterprise intellectual property strategy, and the development status of the enterprise intellectual property strategy under different scenarios is obtained to determine the scenario development information set, and the scenario development information set is output for the enterprise's reference, so as to predict the current intellectual property strategy that may occur in the future, help enterprises effectively deal with uncertainties and challenges, reduce intellectual property strategy risks, and make significant contributions to enterprise intellectual property strategy planning.

[0071] For specific implementation methods, please refer to the following embodiments.

[0072] Figure 2 This is a flowchart of a scientific and technological information achievement management system provided by an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0073] S201. Acquire enterprise intellectual property information, analyze the enterprise intellectual property information, and determine target field information.

[0074] Enterprise intellectual property information can be considered as a series of intellectual property information under the name of the current enterprise;

[0075] Target domain information can be considered as information on several technical fields with different levels that are commonly pointed to by a series of intellectual property information within the enterprise's intellectual property information.

[0076] Specifically, the intellectual property information of the enterprise can be obtained by actively providing intellectual property information or querying the intellectual property information under the name of the enterprise based on the enterprise's unique identification, such as the unified social credit code. Since enterprises often focus on a core area when making intellectual property strategic layout, the core area is usually not too broad and is often related to the actual products of the enterprise. The core area is usually the development direction of the enterprise. By establishing strong intellectual property protection in the core area, the long-term competitive advantage and sustainable development of the enterprise can be ensured. Therefore, the subsequent intellectual property strategy of the enterprise will revolve around this core area, analyze the intellectual property information of the enterprise through mathematical means, and obtain information on several technical fields with different levels that are commonly pointed to by a series of intellectual property information in the intellectual property information of the enterprise, and then determine the relevant information of the core area pointed to by the enterprise's intellectual property strategy, providing an important information basis for the subsequent optimization of the enterprise's intellectual property strategy.

[0077] S202: Determine market field information based on target field information.

[0078] The market field information can be considered as relevant information of the target field in the actual market corresponding to the target field information, such as market size, market potential, etc.

[0079] Specifically, the intellectual property rights of an enterprise should ultimately serve the long-term development and competition of the enterprise. The intellectual property rights owned by the enterprise can help the enterprise gain a competitive advantage in the market and improve the uniqueness and market recognition of the enterprise's products or services. At the same time, changes in market demand and competition landscape will also affect the specific direction of the enterprise's intellectual property layout. By analyzing the information of the target field, market field information can be obtained to determine the actual situation of the target field in the current market, providing important guiding information for the subsequent optimization of the enterprise's intellectual property strategy.

[0080] S203. Determine key dimension information based on the enterprise intellectual property information, target field information and market field information.

[0081] Key dimension information can be considered as information corresponding to factors or aspects that are of great significance and influence on the strategic deployment of corporate intellectual property, such as technological competitiveness, market demand scale and policy support.

[0082] Specifically, in the specific deployment process of the enterprise's intellectual property strategy, it is affected by many factors. The changes in these factors often determine the success or failure of the enterprise's intellectual property strategy. Therefore, before the actual deployment of the enterprise's intellectual property strategy, a comprehensive analysis of the enterprise's intellectual property information, target field information and market field information is conducted to obtain key dimensional information that is of great significance and influence on the deployment of the enterprise's intellectual property strategy, providing a basis for market information for the optimization of the enterprise's intellectual property strategy.

[0083] S204. Based on the key dimension information, conduct scenario planning for the enterprise's intellectual property strategy and determine the scenario development information set.

[0084] Scenario planning can be considered as setting various scenarios that may occur in the process of deploying the enterprise's intellectual property strategy based on the different key dimensions in the key dimension information.

[0085] The scenario development information set can be considered as a series of information reflecting the development status of the enterprise's intellectual property strategy under different set scenarios.

[0086] Specifically, based on the key dimension information, for different key dimensions within the key dimension information, through the corresponding analysis model, scenario planning is carried out for the enterprise's intellectual property strategy, and the development information of the enterprise's intellectual property strategy under different scenarios is obtained to determine the scenario development information set, predict what may happen to the current intellectual property strategy in the future, help enterprises effectively deal with uncertainties and challenges, reduce intellectual property strategy risks, and make significant contributions to the enterprise's intellectual property strategy planning.

[0087] S205. Output scenario development information set for enterprise reference.

[0088] Specifically, by outputting scenario development information sets in the form of visual reports, the development trends and changes of intellectual property strategies under different scenarios are intuitively displayed to enterprises for reference, so that enterprises can better understand the development trends and changes of intellectual property strategies under different scenarios, adjust current intellectual property strategies, and improve their competitiveness and long-term development capabilities.

[0089] Through the method provided in this embodiment, the target field information pointed to by the enterprise intellectual property strategy is determined based on the enterprise intellectual property information, and then the market field information is analyzed based on the target field information. After comprehensive analysis of the enterprise intellectual property information, the target field information and the market field information, the key dimension information that will have a significant impact on the enterprise intellectual property strategy is determined. Then, based on the key dimension information, scenario planning is carried out for the enterprise intellectual property strategy, and the development status of the enterprise intellectual property strategy under different scenarios is obtained to determine the scenario development information set, and the scenario development information set is output for the enterprise's reference, so as to predict the current intellectual property strategy that may occur in the future, help enterprises effectively deal with uncertainties and challenges, reduce intellectual property strategy risks, and make significant contributions to enterprise intellectual property strategy planning.

[0090] In some embodiments, enterprise intellectual property information is analyzed to determine a number of intellectual property information; the number of intellectual property information is analyzed to determine a set of involved fields; based on the number of intellectual property information and the set of involved fields, the number of intellectual property in each involved field is determined; based on the number of intellectual property information and the set of involved fields, a co-occurrence matrix is ​​constructed; based on the co-occurrence matrix and the number of intellectual property in each involved field, a core field set is determined, and the core field set is determined as the target field information.

[0091] Intellectual property information can be considered as relevant information about specific intellectual property rights under the name of an enterprise.

[0092] The set of involved fields can be considered as the set of relevant fields involved in all intellectual property rights under the name of the enterprise.

[0093] The co-occurrence matrix can be considered as a mathematical matrix composed of the number of times different related fields co-occur in the same intellectual property information.

[0094] The core field collection can be considered as a collection of core technology fields involved in all intellectual property information obtained after comprehensive analysis of the company's intellectual property information.

[0095] Specifically, through the enterprise intellectual property information, extract the specific intellectual property information pointed to therein, and use natural language analysis tools such as LTP (Language Technology Platform, Harbin Institute of Technology Language Technology Platform) to extract keywords and patent codes from the intellectual property information to determine the fields involved in the intellectual property information, and form a comprehensive set of involved fields. According to the correspondence between the intellectual property information and the set of involved fields, the number of intellectual property in each involved field is obtained. In the process of determining the target field corresponding to the intellectual property, since there are usually multiple fields pointed to by the specific intellectual property information and there is a hierarchical relationship between the multiple fields, based on the intellectual property information and the set of involved fields, a co-occurrence matrix is ​​constructed through mathematical analysis to reflect the co-occurrence frequency of multiple fields in the intellectual property information in the same intellectual property information, and then combined with the number of intellectual property in each involved field, several core fields are extracted to form a core field set, and the core field set is determined as the target field information.

[0096] Through the method provided in this embodiment, the intellectual property information of the enterprise is analyzed to obtain a number of intellectual property information, and on the basis of the number of intellectual property information, a set of involved fields is determined, and the number of intellectual property under each involved field is obtained. On the basis of the number of intellectual property information and the set of involved fields, a co-occurrence matrix is ​​constructed, and based on the number of intellectual property information and the set of involved fields, a core field set is determined, and the core field set is determined as the target field information. The criticality of the involved fields is comprehensively measured by the number of intellectual property in each involved field and the number of co-occurrences in the co-occurrence matrix, so that the determination of the core fields is more accurate.

[0097] In some embodiments, a core field set is determined based on the co-occurrence matrix and the number of intellectual property rights in each field involved, referring to formula (1):

[0098] (1)

[0099] in, As a collection of core areas, is the preset frequency weight, For the The number of IPs in the relevant fields, To preset the co-occurrence weights, is the first Areas of involvement and The number of co-occurrences corresponding to the involved fields; To iterate over all parameters ,Sure The core domain set corresponding to the maximum value; is the number of fields involved.

[0100] The preset frequency weight can be considered as the numerical weight of the impact of the number of intellectual property rights corresponding to each field on the criticality of the field. The preset frequency weight can be obtained by analyzing historical data.

[0101] The number of co-occurrences can be considered as the number of times several fields appear simultaneously under the same intellectual property information.

[0102] The preset co-occurrence weights can be considered as the impression weight values ​​of the number of times several fields co-occur under the same intellectual property information on the criticality of these fields. The preset co-occurrence weights can be obtained by analyzing historical data.

[0103] Specifically, the number of intellectual property rights corresponding to each involved field and the number of times several fields appear simultaneously under the same intellectual property information are comprehensively considered, and the influence of the number of intellectual property rights corresponding to each involved field and the number of times several fields appear simultaneously under the same intellectual property information on the criticality of each field is reflected through the preset frequency weight and the preset co-occurrence weight respectively. The criticality of each involved field is quantitatively measured through formula (1), and the involved fields with the highest criticality are identified as the core field set.

[0104] Through the method provided in this embodiment, mathematical analysis methods are used to design a mathematical formula based on the co-occurrence matrix, the number of intellectual property rights in each involved field, the preset frequency weight and the preset co-occurrence weight to quantitatively measure the criticality of each involved field, and determine several involved fields with the highest criticality as a core field set, so that several involved fields in the core field set are matched with the core fields of the enterprise's intellectual property strategy, making the subsequent analysis of the enterprise's intellectual property strategy more accurate.

[0105] In some embodiments, based on a number of intellectual property information and a set of involved fields, the number of co-occurrences of any two involved fields in the set of involved fields in the number of intellectual property information is determined by formula (2):

[0106] (2)

[0107] in, For the fields involved Related fields The number of co-occurrences in certain IP information, For the Involved areas, For the Intellectual property information, For the Areas of involvement; is the number of involved fields; according to the number of co-occurrences of any two involved fields, the co-occurrence matrix is ​​determined.

[0108] It should be noted that the form in formula (2) is The function of is the indicator function, which means that when , the function value is 1, otherwise, the function value is 0.

[0109] Specifically, all intellectual property information is traversed through formula (2). If the current entry in formula (2) is Areas of involvement and If the fields involved appear in the current intellectual property information at the same time, then the current Areas of involvement and The number of co-occurrences in the involved fields is increased by 1, otherwise, the number of contributions remains unchanged. After traversing all the intellectual property information, the current Areas of involvement and The number of co-occurrences of the involved fields in all intellectual property information can be obtained by substituting different involved fields into formula (2) to obtain the number of co-occurrences of any two involved fields in all intellectual property information. Based on the number of co-occurrences, a numerical matrix is ​​constructed with the involved fields as indexes and the number of co-occurrences as values, and this numerical matrix is ​​used as the co-occurrence matrix.

[0110] Through the method provided in this embodiment, mathematical analysis methods are used to design mathematical formulas based on a number of intellectual property information and sets of involved fields, and the number of co-occurrences of any two involved fields in all intellectual property information is continued to be quickly and accurately calculated. Then, according to the number of co-occurrences of the two involved fields in all intellectual property information, a co-occurrence matrix is ​​constructed to reflect the mapping relationship between the co-occurrence number and the corresponding involved fields, thereby making the subsequent analysis of the enterprise's intellectual property strategy more comprehensive and accurate.

[0111] In some embodiments, based on a number of IP information and a set of involved fields, the number of IPs in each involved field is determined, referring to formula (3):

[0112] (3)

[0113] in, For the The number of IPs in the relevant fields, For the Involved areas, For the Intellectual property information.

[0114] It should be noted that the form in formula (3) is The function of is the indicator function, which means that when , the function value is 1, otherwise, the function value is 0.

[0115] Specifically, all intellectual property information is traversed through formula (3). If the current field has appeared in the current intellectual property information, the number of intellectual property under the current field is increased by 1. Otherwise, the number of intellectual property under the current field remains unchanged.

[0116] Through the method provided in this embodiment, mathematical analysis methods are used to design mathematical formulas based on a number of intellectual property information and a set of involved fields, so as to quickly and accurately calculate the number of intellectual property in each involved field, thereby making the judgment on the criticality of the involved fields more accurate.

[0117] In some embodiments, a core domain set is analyzed to determine the level of each core domain; a core domain set with level labels is determined based on the core domain set and each core domain level; all core domains in the core domain set with level labels are converted into a number of core domain feature vectors; based on the several core domain feature vectors and a preset market domain feature vector set, a correlation coefficient between each core domain feature vector and each market domain feature vector in the preset market domain feature vector set is determined, and the correlation coefficient is normalized to determine a normalized coefficient value; based on the several core domain feature vectors, the preset market domain feature vector set and the normalized coefficient value, a core market domain set is determined, and the core market domain set is determined as a market domain set.

[0118] The core area level can be considered as a numerical value used to reflect the level corresponding to the core area.

[0119] The set of core domains with hierarchical annotations can be considered as a set of core domains indexed by the numerical values ​​corresponding to the core domain levels.

[0120] The core domain feature vector can be considered as the mathematical representation corresponding to the core domain information, which is used to characterize the various features in the core domain information.

[0121] The preset market field feature vector set can be considered as a preset data set for storing existing feature vectors of different market fields with hierarchical standards.

[0122] The correlation coefficient can be considered as a numerical value used to express the degree of correlation between each core area and the corresponding market area.

[0123] The normalized coefficient value can be considered as the processed correlation coefficient value obtained after normalizing the correlation coefficients between different core areas and market areas. The normalization process can be considered as scaling the original data so that its specific value falls within a specific range.

[0124] The core market area set can be considered as a set of corresponding market areas that are highly relevant to the core areas.

[0125] Specifically, by counting the levels corresponding to different fields of intellectual property, a field level database is constructed, and several core fields in the core field set are matched with the field levels in the field level database to determine each core field level, and a set of core fields indexed by the values ​​corresponding to the core field levels is constructed to obtain a set of core fields with hierarchical annotations, and then through feature vector models such as TF-IDF (term frequency-inverse document frequency), Wrod2Vec (Word to Vector, word vector), converting all core fields in the core field set with hierarchical annotations into several core field feature vectors, and quantifying the correlation between each core field feature vector and each market field feature vector in the preset market field feature vector set through a vector correlation evaluation algorithm, such as the Euclidean distance algorithm, so as to determine the correlation coefficient, and normalizing the correlation coefficient through mathematical analysis to obtain a normalized coefficient value to eliminate the dimensional difference between different correlation coefficients, and then comprehensively analyzing several core field feature vectors, the preset market field feature vector set and the normalized coefficient value, and determining the core market field set through mathematical analysis, and determining the core market field set as the market field set.

[0126] Through the method provided in this embodiment, the core field set is analyzed, the level of each core field is determined, and then the core field set with level annotations is obtained, and all core fields in the core field set with level annotations are converted into a number of core field feature vectors. Based on the several core field feature vectors and the preset market field feature vector set, the correlation coefficient is determined, and the correlation coefficient is normalized. Finally, the core market field set is determined by combining the several core field feature vectors, the preset market field feature vector set and the normalization coefficient value, and the core market field set is determined as the market field set. Through the correlation between the feature vectors of core fields at different levels and the corresponding market field feature vectors, the matching degree between the market field and the core field is evaluated to determine the corresponding market field that is highly matched with the core field, thereby improving the accuracy of the market field set.

[0127] In some embodiments, based on a number of core domain feature vectors and a preset market domain feature vector set, a correlation coefficient between each core domain feature vector and each market domain feature vector in the preset market domain feature vector set is determined, and the correlation coefficient is normalized to determine a normalized coefficient value, referring to formula (4):

[0128] (4)

[0129] in, For the The core domain feature vectors, For the The market domain feature vectors, The total number of core areas.

[0130] Specifically, through formula (4) The dot product between the current core domain feature vector and the corresponding market domain feature vector is calculated to reflect the correlation between the current core domain feature vector and the corresponding market domain feature vector, and the correlation coefficient is quantified. The above correlation coefficient is normalized, and the ratio of the above correlation coefficient to the sum of the correlation coefficients between all core field feature vectors and the corresponding market field feature vectors is taken as the normalization coefficient value.

[0131] Through the method provided in this embodiment, on the basis of several core field feature vectors and a preset market field feature vector set, the correlation between the core field feature vector and the corresponding market field feature vector is quantified through a mathematical formula to obtain a correlation coefficient, and the correlation coefficient is normalized to determine the normalized coefficient value, thereby improving the matching degree between the market field in the obtained core market field set and the corresponding core field. At the same time, through the normalization of the correlation coefficient, the calculation speed and accuracy when determining the core market field set using mathematical analysis methods are improved.

[0132] In some embodiments, a core market domain set is determined based on a number of core domain feature vectors, a preset market domain feature vector set, and a normalization coefficient value, referring to formula (5):

[0133] (5)

[0134] in, is a set of feature vectors of preset market areas, For the core domain feature vectors, For the market sector feature vectors, is the market domain feature vector The corresponding level, is the market domain feature vector The corresponding level, is the current traversal level, It is the maximum level of the feature vector set of the preset market field; is the indicator function; for the core market areas described; To iterate over all parameters ,Sure The core market area set corresponding to the maximum value.

[0135] Specifically, the market field feature vectors corresponding to each level in the preset market field feature vector set are traversed through formula (5), and several market field feature vectors with the largest normalization coefficient values ​​are extracted from them to form a core market field set. The above process is performed through the indicator function in formula (5). Constraints are imposed only on the market domain feature vector The corresponding level is the market domain feature vector The above-mentioned maximum value extraction processing of the normalization coefficient value is effective only when the sub-level of the corresponding level is used to segment the core market areas.

[0136] Through the method provided in this embodiment, mathematical analysis methods are used to design mathematical formulas based on several core field feature vectors, preset market field feature vector sets and normalization coefficient values, traverse the market field feature vectors corresponding to each level in the preset market field feature vector set, and extract several market field feature vectors with the largest normalization coefficient values ​​to form a core market field set. At the same time, through the hierarchical constraint operation in the mathematical formula, the core market field is subdivided, and the calculation efficiency is improved.

[0137] In some embodiments, enterprise intellectual property information is analyzed to determine the technical dimension; market field information is analyzed to determine the market dimension; based on the target field information, the policy impact dimension is determined; the technical dimension, market dimension and policy impact dimension are analyzed to determine the corresponding current weight of each dimension; based on the technical dimension, market dimension, policy impact dimension and the corresponding current weight of each dimension, a key dimension set is determined, and the key dimension set is determined as the key dimension information.

[0138] The technological dimension can be considered as information used to express the degree of advancement of an enterprise’s current technological capabilities in the field of its intellectual property strategic goals.

[0139] The market dimension can be considered as information used to express the degree of saturation of the core market areas targeted by the current corporate intellectual property strategy.

[0140] The policy impact dimension can be considered as information used to express the intensity of policy support in the target areas of the current corporate IP strategy.

[0141] The corresponding current weight of each dimension can be considered as a weight value used to express the impact of each dimension on the overall corporate intellectual property strategy.

[0142] The key dimension set can be considered as an information set with the corresponding current weight of each dimension as the content and the specific dimension information as the index.

[0143] Specifically, the enterprise's intellectual property information is analyzed through patent analysis tools, such as Innography (Intelligent Patent Analysis) and PatentSight (Patent Technology Analysis Insight System), and the technical dimension is determined by combining the patent data set in the current enterprise's intellectual property strategic target field. At the same time, the market field in the market field information is analyzed through market analysis tools, such as Statista (Statista Research & Analysis), to determine the market dimension. According to the target field information, the relevant policy support documents under the target field are queried. The relevant policy support documents are analyzed through natural language processing tools to determine the policy impact dimension. Then, through dimensional analysis methods, such as AHP (Analytic Hierarchy Process), a comprehensive analysis is conducted on the technical dimension, market dimension and policy impact dimension to determine the corresponding current weight of each dimension. With the corresponding current weight of each dimension as the content and the specific dimension information as the index, a key dimension set is constructed, and the key dimension set is determined as the key dimension information.

[0144] Through the method provided in this embodiment, the technical dimension, market dimension and policy impact dimension are determined respectively according to the enterprise intellectual property information, market field information and target field information, and the corresponding current weight of each dimension is analyzed to obtain a key dimension set, and the key dimension set is determined as the key dimension information to accurately reflect the impact of each dimensional information on the enterprise intellectual property strategy.

[0145] In some embodiments, a number of development scenarios are set based on the key dimension set; a scenario analysis model is constructed based on the key dimension set; based on the scenario analysis model, the number of development scenarios are analyzed to determine the development trend of each dimension under different development scenarios; and the scenario development information set is determined based on the development trend of each dimension under different development scenarios.

[0146] Development scenarios can be considered as hypothetical development situations of a company's intellectual property strategy in the future, constructed based on a series of dimensional information.

[0147] The scenario analysis model can be considered as a multidimensional scenario model for the corporate intellectual property strategy constructed based on a series of key dimension information within the key dimension set.

[0148] The development trend of each dimension can be considered as the changing status of information in each dimension under different development scenarios.

[0149] Specifically, according to the technical dimension, market dimension and policy impact dimension in the key dimension set, several development scenarios are set, such as technological stagnation or breakthrough, increase and decrease in market demand, and increase and decrease in policy support, etc. Then, through scenario planning tools, such as Scenario Planning Software and Simul8 (Simulation Language for Unlimited Modelling, Version 8, discrete event simulation software), combined with system dynamics tools, such as Vensim (Ventana Simulation Environment, Ventana system dynamics simulation environment), a scenario analysis model is constructed to simulate the dynamic relationship between dimensions under different scenarios. Then, the scenario analysis model is used to analyze the changes in dimensional information in different development scenarios, determine the development trend of each dimension under different development scenarios, and then use its development scenario as the index to construct a scenario development information set.

[0150] Through the method provided in this embodiment, several development scenarios are set according to a set of key dimensions, and a scenario analysis model is constructed. The scenario analysis model is used to simulate and analyze several development scenarios to determine the development trend of each dimension under different development scenarios, and then determine the scenario development information set to predict the changes in information of each dimension that has a significant impact on the enterprise's intellectual property strategy under different development scenarios, thereby providing a comprehensive and detailed data basis for the enterprise to adjust its intellectual property strategy.

Claims

1. A scientific and technological information achievement management system, characterized in that: include: Obtaining enterprise intellectual property information, analyzing the enterprise intellectual property information, and determining target field information; Determine market field information based on the target field information; Determining key dimension information based on the enterprise intellectual property information, the target field information and the market field information; Based on the key dimension information, scenario planning is conducted for the enterprise's IP strategy to determine the scenario development information set; Output the scenario development information set for reference by the enterprise; The step of analyzing the enterprise intellectual property information and determining target field information includes: Analyze the enterprise intellectual property information and determine certain intellectual property information; Analyze the intellectual property information to determine the set of fields involved; According to the several pieces of intellectual property information and the set of involved fields, the number of intellectual property under each involved field is determined using the following formula: ; in, For the The number of IPs in the relevant fields, For the Involved areas, For the Intellectual property information; According to the plurality of intellectual property information and the set of fields involved, a co-occurrence matrix is ​​constructed, including: According to the plurality of intellectual property information and the set of involved fields, the number of co-occurrences of any two involved fields in the set of involved fields in the plurality of intellectual property information is determined by the following formula: ； in, For the fields involved Related fields The number of co-occurrences in the said certain intellectual property information, For the Areas of involvement; is the number of fields involved; Determining the co-occurrence matrix according to the co-occurrence times of any two related fields; According to the co-occurrence matrix and the number of intellectual property rights in each involved field, a core field set is determined, calculated using the following formula, and the core field set is determined as the target field information; ； in, is the core domain set, is the preset frequency weight, To preset the co-occurrence weights, To iterate over all parameters ,Sure The core domain set corresponding to the maximum value; Determining market field information according to the target field information includes: Analyze the core domain set and determine the level of each core domain; According to the core domain set and each core domain level, determine a core domain set with a level label; Convert all core domains in the core domain set with hierarchical annotations into several core domain feature vectors; According to the core domain feature vectors and the preset market domain feature vector set, the correlation coefficient between each core domain feature vector and each market domain feature vector in the preset market domain feature vector set is determined, and the correlation coefficient is normalized to determine the normalized coefficient value, using the following formula: ； in, For the The core domain feature vectors, For the The characteristic vectors of the market sectors, is the total number of core areas; According to the core domain feature vectors, the preset market domain feature vector set and the normalization coefficient value, a core market domain set is determined, and the following formula is used to determine the core market domain set as the market domain information: ； in, is the preset market field feature vector set, For the market domain feature vector level, For the market domain feature vector level, is the current traversal level, is the maximum level of the preset market domain feature vector set; is the indicator function; for the core market areas described; To iterate over all parameters ,Sure The core market area set corresponding to the maximum value.

2. The system according to claim 1, characterized in that The determining of key dimension information based on the enterprise intellectual property information, the target field information and the market field information includes: Analyze the enterprise intellectual property information and determine the technical dimensions; Analyze the market sector information and determine the market dimensions; Determine the policy impact dimensions based on the target area information; Analyze the technical dimension, the market dimension, and the policy impact dimension, and determine the corresponding current weight of each dimension; A key dimension set is determined according to the technical dimension, the market dimension, the policy impact dimension and the corresponding current weight of each dimension, and the key dimension set is determined as the key dimension information.

3. The system according to claim 2, characterized in that The step of performing scenario planning for the enterprise's intellectual property strategy based on the key dimension information and determining a scenario development information set includes: According to the set of key dimensions, several development scenarios are set; Constructing a scenario analysis model based on the set of key dimensions; Based on the scenario analysis model, analyzing the several development scenarios, and determining the development trend of each dimension under different development scenarios; According to the development trend of each dimension under different development scenarios, the scenario development information set is determined.

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