WO2011136413A1 - Appareil et procédé de configuration de réseau en étoile global de droits de propriété intellectuelle global par détection de similarités de brevets - Google Patents

Appareil et procédé de configuration de réseau en étoile global de droits de propriété intellectuelle global par détection de similarités de brevets Download PDF

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WO2011136413A1
WO2011136413A1 PCT/KR2010/002730 KR2010002730W WO2011136413A1 WO 2011136413 A1 WO2011136413 A1 WO 2011136413A1 KR 2010002730 W KR2010002730 W KR 2010002730W WO 2011136413 A1 WO2011136413 A1 WO 2011136413A1
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patent data
similarity
interest
data
analysis field
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PCT/KR2010/002730
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English (en)
Korean (ko)
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강종석
이혁재
문영호
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한국과학기술정보연구원
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Priority to PCT/KR2010/002730 priority Critical patent/WO2011136413A1/fr
Publication of WO2011136413A1 publication Critical patent/WO2011136413A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/34—Browsing; Visualisation therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
    • G06F2216/11—Patent retrieval

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  • the present invention relates to an apparatus and a method for implementing a intellectual property comprehensive forming network by detecting a patent similarity for objectively estimating the correlation between the similarity of the patent data and visualizing the integrated forming network.
  • Patent rights which constitute the largest proportion of intellectual property rights, are for legal protection of inventions, which are human mental creations, and the technical idea to be protected is described in the specification to apply for protection of rights through the patent application procedure and to be protected through examination process. Means the property rights registered with the right to
  • the patent data is standardized according to the analysis field to calculate the similarity, at least one of the analysis areas is set as a variable, and the objective of calculating the similarity between each patent data is visualized by a comprehensive molding network.
  • a patent data search and storage unit for accessing a patent database to search for, download, and store patent data corresponding to a search expression, and standardize the stored patent data according to each analysis field to analyze a meta database for each analysis field.
  • Patent data standardization unit to generate the data, and from the information in the meta database for each analysis field to calculate the co-occurrence matrix for each analysis field using the number or frequency of meta data simultaneously generated between each patent data and by the analysis field using the co-generation matrix
  • the similarity calculation part that calculates the similarity matrix representing the similarity between patent data, selects two fields among the analysis fields and sets them on the x-axis and y-axis, and selects any one of the patent data at the origin and then selects the selected analysis.
  • the comprehensive molding network visualization unit visualizes the position, distance or connection of each patent data with the comprehensive molding network, and accesses the patent database to search for and download the patent data.
  • Patent similarity including a control unit that generates a meta database for each patent data for each patent field and calculates a co-occurrence matrix and a similarity matrix for each analysis field using the meta database to visualize the similarity between patent data in a comprehensive forming network.
  • the controller may periodically access the patent database to search and update the patent data corresponding to the search expression to calculate a similarity matrix between the patent data and to visualize the similarity between the patent data in a comprehensive forming network.
  • the patent data standardization unit may standardize the stored patent data into metadata that is a minimum unit including a word or a phrase according to an analysis field.
  • the similarity calculating unit may indicate the similarity between patent data using any one of the similarity coefficients including jacquard, inclusion, proxy meter, and cosine.
  • the apparatus for implementing an intellectual property encompassing network by detecting patent similarity further includes an input unit for inputting a search expression, and accesses a patent database through a wired / wireless communication network to search for patent data.
  • the field of analysis may include a keyword, an applicant, an applicant nationality, an inventor, an inventor nationality, a technical classification code, a word or a phrase included in a claim.
  • a patent data retrieval and storage unit for accessing a patent database and retrieving and downloading citations or cited patent data of interest patent data and citation patent data, and storing stored patent data in respective analysis fields.
  • Patent data standardization unit to generate a meta database for each analysis field by standardization according to the standard, and by using the number or frequency of occurrence of meta data simultaneously generated between citation or cited patent data of interest and patent data of interest from the meta database information for each analysis field.
  • Similarity calculation part that calculates the similarity matrix for each analysis field and calculates the similarity matrix for each analysis field that shows the similarity between citation or cited patent data of interest patent data and interest patent data using the simultaneous generation matrix for each analysis field.
  • a comprehensive forming network visualizing unit that visualizes and accesses a patent database, retrieves and downloads patent data of interest and citation or cited patent data of interest patent data, creates a meta database for each analysis field, and uses a meta database for each patent data.
  • Intellectual Property Rights by Patent Similarity Detection including a control unit that calculates the co-occurrence matrix and the similarity matrix for each analysis field to visualize the similarity between the patent data of interest and the citation or cited patent data of interest by a comprehensive forming network.
  • the parenthesis star network implementation is provided.
  • the comprehensive forming network visualization unit selects one of the similarity matrix for each analysis field and cites or avoids the patent data of interest and the patent data of interest according to the similarity between the patent data of interest and the patent data of interest cited in the selected similarity matrix.
  • the position, distance, or connection of the cited patent data can be visualized.
  • the comprehensive forming network visualization unit selects two of the analysis fields, sets the x-axis and the y-axis, respectively, and places the patent data of interest at the origin, and then the patent data of interest and the patent data of interest appearing in the similarity matrix corresponding to the selected analysis field. According to the similarity between the cited or cited patent data of the citation or cited patent data of interest patent data and the cited patent data can be visualized on the coordinate plane.
  • the controller periodically accesses the patent database, searches for and updates patent data corresponding to the search expression, calculates a similarity matrix between the patent data of interest and the citation or cited patent data, and visualizes the similarity between the patent data in a comprehensive forming network. Can be controlled.
  • the similarity calculating unit may indicate the similarity between patent data using any one of the similarity coefficients including jacquard, inclusion, proxy meter, and cosine.
  • the apparatus for implementing an intellectual property comprehensive forming network by detecting similarity of patents further includes an input unit for inputting patent information of interest, and accessing a patent database through wired / wireless communication networks to cite or cite patent data of interest and patent data of interest. You can search for data.
  • the patent data standardization unit may standardize the stored patent data into metadata that is a minimum unit including a word or a phrase according to an analysis field.
  • the field of analysis may include a keyword, an applicant, an applicant nationality, an inventor, an inventor nationality, a technical classification code, a word or a phrase included in a claim.
  • a patent database accessing a patent database, inputting a search expression, searching for patent data corresponding to the search expression from the patent database, downloading and integrating the searched patent data, converting the data into a set format, and storing the same.
  • Generating a meta database for each analysis field by standardizing the stored patent data according to each analysis field, and using the number or frequency of occurrence of metadata simultaneously occurring between each patent data from the information of the meta database for each analysis field.
  • Calculating a co-occurrence matrix for each analysis field Calculating a co-occurrence matrix for each analysis field, calculating a similarity matrix for each analysis field that shows similarity between patent data using the co-occurrence matrix for each analysis field, and selecting a similarity matrix for each analysis field for the x-axis or y-axis.
  • a method for implementing an intellectual property comprehensive forming network by detecting similarity between patents comprising: placing one of the dummy data at the origin and visualizing the similarity between the patent data disposed at the origin and the remaining patent data with the comprehensive forming network on the coordinate plane To provide.
  • analysis field Calculating a similarity matrix for each field of analysis, which indicates the similarity between the patent data of interest and the cited or cited patent data of the patent data of interest, and selecting one or more similarity matrices among the similarity matrix for each field of analysis and selecting the selected similarity matrix.
  • the search expression may be generated by combining a keyword, a technology classification code, a patent registration number or a patent application number of the patent data to be searched.
  • Standardizing the stored patent data according to each analysis field to generate a meta-database for each analysis field includes: segmenting the stored patent data into words having a minimum unit according to each analysis field, and processing natural language processing of the stored patent data. Creating a list of words and phrases that have been segmented and naturalized, applying a thesaurus to the list, selecting meaningful metadata from words and phrases by thesaurus, and grouping them into groups of similar meaning And storing the metadata in a grouped thesaurus region as a meta database.
  • Computing a co-occurrence matrix using the number or frequency of occurrence of meta data simultaneously from the information of the meta-database for each analysis field may include extracting a minimum semantic unit including words and phrases from the meta database, and a minimum semantic unit. It can be configured to include the step of calculating the frequency of occurrence of.
  • the method of implementing an IPR-type forming network by detecting similarity of patents periodically accesses a patent database, searches for and updates citation or cited patent data corresponding to the patent data information of interest, and calculates a similarity matrix between patent data and between patent data.
  • the method may further include controlling the similarity of to be visualized by the comprehensive forming network.
  • a program for performing an IPR implementation method by detecting patent similarity may be recorded and recorded on a recording medium readable by an electronic device.
  • the similarity between patent data can be detected by objective criteria, and the similarity and degree of similarity between a plurality of patent data can be grasped at a glance.
  • the blank technology can be derived from the visible comprehensive forming network, and it can be used as a reference for setting research directions in related fields.
  • FIG. 1 is a block diagram showing an embodiment of the intellectual property comprehensive forming network implementation apparatus by the patent similarity detection according to an aspect of the present invention.
  • Figure 2 is a connection relationship between the intellectual property comprehensive forming network implementation apparatus and the patent database by detecting the patent similarity according to an aspect of the present invention.
  • Figure 3 is a flow diagram illustrating an embodiment of a method for implementing an IPR forming network by detecting patent similarity according to another aspect of the present invention.
  • Figure 4 is a flow diagram illustrating an embodiment of a method for generating a meta database of a method for implementing an IPR forming network by detecting patent similarity according to another aspect of the present invention.
  • FIG. 5 is a flowchart illustrating an embodiment of a method for calculating a co-occurrence matrix of a method for implementing an intellectual property encompassing forming network by detecting patent similarity according to another aspect of the present invention.
  • Figure 6 is a comprehensive forming network visualized by one embodiment of a method for implementing an intellectual property comprehensive forming network by the patent similarity detection of another aspect of the present invention.
  • Figure 7 is a comprehensive forming network visualized by another embodiment of a method for implementing an intellectual property comprehensive forming network by the patent similarity detection of another aspect of the present invention.
  • FIG. 1 is a block diagram showing an embodiment of an intellectual property comprehensive forming network implementation apparatus 100 by detecting a patent similarity according to an aspect of the present invention
  • Figure 2 is a patent similarity detection according to an aspect of the present invention
  • FIG. 3 is a diagram illustrating a connection relationship between the IPR apparatus 100 and the patent database 300.
  • the apparatus 100 for implementing an intellectual property comprehensive forming network by detecting patent similarity may include a patent data search and storage unit 110, a patent data standardization unit 120, It includes a similarity calculation unit 130, a comprehensive forming network visualization unit 140, the controller 150 and the input unit 160.
  • the apparatus 100 for implementing the IPR by detecting patent similarity may be connected to the patent database 300 through a wired / wireless communication network 200 such as the Internet.
  • the patent data retrieval and storage unit 110 may access the patent database 300, search for and integrate the patent data corresponding to the search expression, download it, convert it into a set format, and store it. .
  • the search expression may be composed of keywords, applicants, inventors, technical classification code, application number, publication number, registration number or a combination of the above, the patent database 300 is a database established by the Patent Office of each country or commercially available patent database It can be configured to include.
  • the patent data standardization unit 120 may generate a meta database for each analysis field by standardizing the stored patent data into metadata that is a minimum unit including a word or a phrase according to each analysis field.
  • the field of analysis may include a keyword, an applicant, an applicant nationality, an inventor, an inventor nationality, a technical classification code, a word or phrase included in a claim, and may be applied as a criterion for determining similarity of patent data.
  • the similarity calculation unit 130 analyzes the number or frequency of occurrence of meta data simultaneously between each patent data from the information of the meta database for each analysis field, and collects the above analysis results to calculate a co-occurrence matrix for each analysis field.
  • the similarity matrix can be calculated using the field-specific co-occurrence matrix.
  • the simultaneous matrix for each analysis field is arranged by arranging a plurality of lists of patent data in a row or a column, and by placing metadata of the analysis field in a column or a row, each metadata is included in the patent data. It means a matrix indicating the number or frequency of occurrence or as shown in [Table 2], a plurality of patent data list arranged in a row and a column, respectively, and a matrix indicating the number or frequency of the corresponding meter data.
  • D1 patent data and D2 patent data are only related to Tech2 technology, and D1 patent data and D3 patent data are estimated to be related to Tech1 and Tech2 technology.
  • the description of D1 patent data can be assumed to be included in the description of D4 patent data.
  • the similarity calculation unit 130 may calculate a similarity matrix for each analysis field indicating the similarity between the respective patent data using the simultaneous generation matrix for each analysis field.
  • the similarity constituting the similarity matrix may be calculated using any one of similarity coefficients including jacquard, inclusion, proxy meter, cosine, and the like.
  • [Table 3] shows and calculated the similarity matrix from the co-occurrence matrix of [Table 2], the similarity between the D1 to D10 patent data is calculated using the Jacquard similarity coefficient.
  • Jacquard similarity coefficient may be calculated by Equation 1.
  • the similarity matrix may be calculated using the inclusion similarity coefficient of [Equation 2] and the proxy meter similarity coefficient of [Equation 3].
  • the comprehensive forming network visualization unit 140 selects two similarity matrices among the similarity matrices for each analysis field, sets the analysis field corresponding to the selected similarity matrix as the x-axis and the y-axis, respectively, and selects any one of the patent data and places it at the origin.
  • the remaining patent data may be disposed on the coordinate plane according to the similarity between the patent data disposed at the origin and the remaining patent data to visualize the comprehensive forming network.
  • the comprehensive forming network visualization unit 140 may select two analysis fields from among analysis fields, set them as x and y variables, and select reference patent data among a plurality of patent data and place them at the origin. In this case, coordinates of the remaining patent data are determined according to the similarity between the reference patent data disposed at the origin and the remaining patent data for the two selected analysis fields.
  • the controller 150 controls the patent data retrieval and storage unit 110, the patent data standardization unit 120, the similarity calculator 130, and the comprehensive forming network visualization unit 140.
  • the controller 150 accesses the patent database 300, searches for and downloads patent data, creates a meta database for each analysis field for each patent data, and uses the meta database to analyze the co-occurrence matrix and similarity for each analysis field. By calculating the matrix, the similarity between the patent data can be controlled to be visualized by the comprehensive forming network.
  • the controller 150 periodically accesses the patent database 300 to search and update the patent data corresponding to the search expression to calculate a similarity matrix between the patent data and to visualize the similarity between the patent data in a comprehensive forming network. Can be controlled.
  • the apparatus 100 for implementing an intellectual property encompassing network by detecting patent similarity may further include an input unit 160 through which a search expression is input.
  • the patent data retrieval and storage unit 110 may access the patent database 300 to retrieve and download and store citations or citations of patent data of interest and patent data of interest. .
  • the patent data retrieval and storage unit 110 of the first embodiment retrieves and downloads the patent data corresponding to the search expression uniformly, while the patent data retrieval and storage unit 110 of the second embodiment retrieves the specified interest patent data and interest.
  • the second embodiment is for calculating the relation between the patent data of interest and the citation or citation patent data with high similarity.
  • the patent data standardization unit 120, the similarity calculation unit 130, the comprehensive forming network visualization unit 140, and the controller 150 are similar to the functions described in the first embodiment, and the similarity calculation unit 130 is the patent data of interest. And the difference in calculating the co-occurrence matrix or the similarity matrix between the cited or cited patent data of the patent data of interest, and the comprehensive forming network visualization unit 140 is between the cited or cited patent data of the patent data of interest and the patent data of interest. According to the similarity of, there is a difference in visualizing the position, distance or connection relationship of each patent data by the comprehensive forming network.
  • the comprehensive forming network visualization unit 140 selects one of the similarity matrix for each analysis field, the patent data of interest and the patent data of interest according to the similarity between the patent data of interest and the citation or cited patent data of the patent data of the selected similarity matrix are selected. The location, distance or connection of the citation or citation of the cited patent data can be visualized.
  • each field is set to the x-axis and the y-axis, and the patent data of interest is disposed at the origin, and then the similarity matrix corresponding to the selected analysis field is selected.
  • the position, distance or connection of the citation or citation of the patent data of interest and the cited patent data can be visualized on the coordinate plane. .
  • FIG. 3 is a flowchart illustrating an embodiment of a method for implementing an IPR forming network by detecting patent similarity according to another aspect of the present invention
  • FIG. 4 is an IPR forming network by detecting patent similarity according to another aspect of the present invention
  • FIG. 5 is a flowchart illustrating an embodiment of a method for generating a meta database of an implementation method
  • FIG. 5 is a flowchart illustrating an embodiment of a method of calculating a concurrent matrix of a method for implementing an IPR-type comprehensive network by detecting patent similarity according to another aspect of the present invention. to be.
  • the method for implementing an intellectual property comprehensive forming network by detecting patent similarity may be performed by inputting a search formula (S310), searching for patent data (S320), downloading and integrating the same.
  • the format is converted and stored (S330), a meta-database is generated (S340), a simultaneous matrix is calculated (S350), a similarity matrix is calculated (S360), and visualized by a comprehensive forming network (S370).
  • the patent data corresponding to the search expression is searched (S320), and the searched patent data is downloaded and integrated into a set format. Convert and store (S330).
  • the search expression may be generated by combining keywords or technical classification codes of patent data to be searched, and may be generated by combining bibliography of a publication or a registered publication.
  • the stored patent data may be standardized according to each analysis field to generate a meta database for each analysis field (S340).
  • Meta database generation is to segment the stored patent data into the word of the minimum unit according to each analysis field (S332), after processing the stored patent data with natural language (S333), and the words and phrases processed with segmentation and natural language By creating a list of (S334), the thesaurus method is applied (S335).
  • the meta database may be generated by selecting meaningful meta data among words and phrases by the thesaurus, grouping them into groups of similar meaning (S336), and storing the meta data in the thesaurus region as a meta database (S340).
  • the simultaneous generation matrix for each analysis field is calculated using the number or frequency of occurrence of the meta data simultaneously occurring between the patent data from the information of the meta database for each analysis field (S350).
  • Simultaneous matrix calculation may be represented by searching the meta database (S342), extracting the minimum meaning unit including words and phrases from the meta database (S344), and calculating the frequency of occurrence of the minimum meaning unit (S350).
  • a similarity matrix indicating the similarity between patent data is calculated using the simultaneous generation matrix for each analysis field (S360), and the similarity between each patent data can be visualized by the comprehensive forming network (S370).
  • each of the selected patent data may be adjusted according to the similarity indicated in the similarity matrix.
  • each analysis field is set as an x and y variable, and one of the patent data is placed at the origin and then placed at the origin.
  • the position, distance or connection between the patent data and the rest of the patent data can be adjusted to visualize a comprehensive forming network on the coordinate plane.
  • the patent database is accessed to search for and update the citation or cited patent data corresponding to the patent data information of interest to calculate a similarity matrix between the patent data, and to cover the similarity between the patent data. It can be visualized by the forming network.
  • the second embodiment of the present invention visualizes the similarity between the citations of the patent data of interest and the patent data of interest or the cited patent data by a comprehensive forming network through a similar process to each step of the first embodiment, and thus the description will be mainly focused on the differences. .
  • the citation or citation of the patent data of interest and the patent data of interest is searched (S320), and the retrieved patent data.
  • the patent data is downloaded and integrated into a set format and stored (S330).
  • a plurality of patent data corresponding to the search expression is searched uniformly, while in the second embodiment, the patent data of interest is primarily searched, and the citation or cited patent data of the patent data of interest is secondarily searched. There is a difference that is retrieved.
  • Simultaneous matrix or similarity matrix calculation calculates the patent data of interest and patent data of citation or cited patent data for each analysis field, and the comprehensive molding network visualization selects one or more similarity matrix among similarity matrix by analysis field and selects similarity.
  • the matrix is used to visualize the position, distance, or connection relationship of each patent data into a comprehensive forming network according to the similarity between the patent data of interest and the citation or cited patent data of the patent data of interest.
  • the first embodiment visualizes the similarity between a plurality of patent data as a comprehensive molding network
  • the second embodiment uses the similarity between the citation or cited patent data of the patent data of interest and the patent data of interest as the comprehensive molding network. There is a difference in visibility.
  • the corresponding analysis field is set as the variable of the x-axis or the y-axis, and the patent data of interest is placed at the origin, and then the patent data of interest and interest
  • the similarity between citation of patent data or cited patent data can be visualized two-dimensionally on the coordinate plane.
  • FIG. 6 is a comprehensive forming network visualized by one embodiment of a method for implementing an intellectual property comprehensive forming network by patent similarity detection of another aspect of the present invention
  • FIG. 7 is an intellectual property right by patent similarity detection of another aspect of the present invention.
  • FIG. 3 is a view illustrating a comprehensive forming network visualized by another embodiment of a comprehensive forming network implementation method.
  • the similarity between the patent data P of interest and the citations of the patent data of interest (B1 to B7) or the citations of the cited patents (F1 to F7) can be visualized in a comprehensive speech network in one analysis field. Can be.
  • the patent data is represented by a node, and the similarity between the patent data may be represented by a connection relationship, and when the similarity is 0.5 or more, it may be visualized to be connected by a line.
  • the x coordinate of the cited or cited patent data means the similarity with respect to the field of x analysis of the patent data of interest
  • the y coordinate means the similarity with respect to the y analysis field of the patent data of interest
  • the similarity with the patent data of interest is high in the field of x and y analysis, and the first cited patent data is analyzed by x
  • the similarity with the patent data of interest is higher in the y analysis field than the field, and the first cited patent data may be estimated to have a similarity with the patent data of interest in the x analysis field than the y analysis field.
  • the second citation patent data can be estimated to have the lowest similarity with the patent data of interest in the x, y analysis field.
  • a program for performing an IPR implementation method by detecting patent similarity may be recorded and recorded on a recording medium readable by an electronic device.
  • the intellectual property comprehensive forming network implementation method by detecting the patent similarity can be written by a computer program, and codes and code segments constituting the program can be easily inferred by a computer programmer in the art.
  • the program related to the implementation of the intellectual property comprehensive forming network by detecting the patent similarity is stored in a computer readable medium, and read and executed by the computer to capture the similarity of the patent data. Visualization can be done with
  • the present invention can be applied to an apparatus for implementing a comprehensive forming network of intellectual property rights by patent similarity detection.
  • the present invention can be applied to fields related to derivation of technology or prevention of patent infringement requiring research and development according to patent similarity detection.

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Abstract

L'invention concerne un appareil et un procédé de configuration d'un réseau en étoile global de droits de propriété intellectuelle (PI) par détection de similarités de brevets. L'appareil selon l'invention comprend : une unité de recherche et de stockage de données de brevets permettant d'accéder à une base de données de brevets, de rechercher des données de brevets correspondant à une demande de recherche et de télécharger et stocker des données obtenues suite à la demande de recherche; une unité de normalisation de données de brevets destinée à normaliser les données de brevets stockées en fonction de catégories d'analyse respectives et à générer une méta-base de données par catégorie d'analyse; une unité de calcul de similarités définissant une matrice d'occurrences simultanées par catégorie d'analyse au moyen du nombre de métadonnées apparaissant simultanément parmi les données de brevets respectives dans les informations à partir de la méta-base de données, ou au moyen d'une fréquence d'occurrences et par la création d'une matrice de similarités présentant les similarités entre les données de brevets par catégorie au moyen de la matrice d'occurrences simultanées; une unité de visualisation de réseau en étoile global dessinée à sélectionner deux catégories parmi les catégories d'analyse et à établir un axe x et un axe y, à sélectionner une des données de brevets et à la placer au point d'origine puis, au moyen de la matrice de similarités correspondant à la catégorie d'analyse sélectionnée, à visualiser les emplacements, les distances ou les interconnexions des données de brevets respectives sur un réseau en étoile global, en fonction des similarités entre les données de brevets situées au point d'origine et des données de brevets restantes; et une unité de commande destinée à commander la visualisation de similarités entre les données de brevets sur le réseau en étoile global par l'accès à la base de données de brevets, l'obtention et le téléchargement de données de brevets, par la création d'une méta-base de données par catégorie d'analyse pour les données de brevets respectives et par l'utilisation de la méta-base de données pour extraire une matrice d'occurrences simultanées et une matrice de similarités pour chaque catégorie d'analyse.
PCT/KR2010/002730 2010-04-30 2010-04-30 Appareil et procédé de configuration de réseau en étoile global de droits de propriété intellectuelle global par détection de similarités de brevets WO2011136413A1 (fr)

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Cited By (4)

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KR101684442B1 (ko) * 2015-08-20 2016-12-08 한국과학기술정보연구원 정보분석 장치 및 방법
KR101779892B1 (ko) * 2015-11-19 2017-09-19 건국대학교 산학협력단 기술발전도 생성 시스템 및 그 방법
WO2019133759A1 (fr) * 2017-12-28 2019-07-04 Alibaba Group Holding Limited Procédé, appareil, dispositif de traitement de données et support de stockage lisible par ordinateur
CN110895563A (zh) * 2018-09-13 2020-03-20 深圳市蓝灯鱼智能科技有限公司 一种文本检索方法及装置

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