KR20140026796A - System and method for providing customized patent analysis service - Google Patents
System and method for providing customized patent analysis service Download PDFInfo
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- 238000004445 quantitative analysis Methods 0.000 claims abstract description 14
- 238000004451 qualitative analysis Methods 0.000 claims abstract description 11
- 238000000605 extraction Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 abstract 1
- 238000012827 research and development Methods 0.000 abstract 1
- 230000006870 function Effects 0.000 description 7
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Abstract
Description
The present invention relates to a customized patent analysis service system and a method thereof, and more particularly, to search for a patent related to a target technology for selecting a main patent, and to apply similarity to the searched patents by applying a tech tree and a tech network. By calculating and clustering map viewing, customized patent analysis service system and method that can help users who do not have common knowledge in patent analysis in accordance with needs such as R & D, benchmarking, avoiding disputes, and supporting patent reverse engineering It is about.
The knowledge used in the development of new technologies varies greatly in terms of types and forms, but in recent years, attention has been focused on patents that reflect the latest trends in technology.
Patent information has the characteristics of technical information, rights information and management information, and its importance is increasing in the global international competition. As the technical information, it is possible to know the trend of technology development and technical ideas applied to individual patents, and as the right information, it is possible to grasp the scope of rights of individual patents and the degree of nationalization of domestic and foreign rights.
In particular, the patent information as the technical information is used as a very important data for identifying trends and technical characteristics of technological change not only for researchers who perform academic research on technological innovation, but also for engineers who develop actual technologies. Therefore, the development of a new technology discovery system using patent information can be said to be meaningful in terms of using the accumulated knowledge to create new knowledge because the characteristics of the past technologies can be analyzed based on a very large amount of data.
For this reason, a system for analyzing patent trends is needed. Patent trend analysis system uses a patent trend analysis method that does not focus on technical classification by the user. That is, a method of performing patent trend analysis by automatically classifying a technology by IPC classification or the like without using a technical classification of patent data by a user is used. When a user's selection is involved in the technology classification, several main words are selected in advance. Use
The technology classification method of the conventional patent trend analysis system has a problem in relation to patent search and accuracy of the technology classification itself, and in particular, there is a disadvantage in that it cannot accommodate the diversity of technology classification according to the analysis purpose.
In addition, the patent trend analysis system supporting technical classification simply extracts keywords from the entire patent documents by text mining techniques and uses technical classification according to the frequency of the keywords. There is a problem falling.
The method that allows the user to select the main word after the technical classification is to classify the patent literature according to the frequency of the main word, and the accuracy of the technical classification is low and the conceptual word is derived from the technical common sense of the analyst. It cannot be ignored that a difference with a term used in a patent document occurs.
In addition, most of the methodologies for qualitatively constructing a technical structure by finding related patents based on a specific keyword, forming a cluster by finding keywords from an unspecified number of patents, and the technical structure of a cluster composed of a large number of patents There is no methodology for packaging quantitative analysis.
In addition, there have been many studies on how to package related patents in order to construct a specific technology (product), but most of them have the disadvantage of remaining at the level of researching qualitative methodologies depending on expert analysis.
Accordingly, the present invention has been made in view of the above problems, and an object of the present invention is to search for a patent related to a target technology for selecting a main patent, and apply a searched technology tree and a tech network. By calculating similarity and viewing clustering maps, customized patent analysis service system that can help users who do not have common knowledge in patent analysis in accordance with needs such as R & D, benchmarking, avoiding disputes, and supporting patent reverse engineering And a method thereof.
Customized patent analysis service method according to the present invention for achieving the above object, the step of receiving information about the target technology as a reference item; Extracting key keywords from the information on the input target technology through text mining technology; Retrieving related patents from an internal or external patent database through a text mining technique with the received or extracted key keywords; The searched patents are applied to the searched patents by applying a tech tree and a tech network.
Here, in the clustering map viewer, the user can select a major patent among the searched patents by estimating the importance as a major patent for a plurality of searched patents or a searched patent having an importance of a predetermined score or more as the main patent. It further comprises the step of allowing selection.
In the clustering map viewer, the report analyzes the results of at least one of technical, business, rights and marketability, patent reverse engineering support, benchmarking function, and conflict avoidance for the technology of the selected patent through a quantitative and qualitative analysis unit. The method may further include generating the form and providing the same to the user.
According to the present invention, a customized patent analysis service system according to the present invention includes an internal or external patent database, an input unit for receiving item information on a target technology as a reference, and information on the received target technology. A keyword extraction unit for extracting key keywords from text mining, a search unit for searching related patents from a patent database through the input or extracted key keywords, and weighting the searched patents by item weight, keyword weight, etc. And / or an analysis service providing unit including a clustering map viewer for calculating a similarity by applying a tech tree and a tech-network, and a clustering map, and the tech tree, tech network, similarity, core Data including keywords, search patents, clustering data, etc. A storage unit for storing temporarily or permanently, to the analysis service provider viewing (vewing) a selected main patent, clustering map data and the like in the portion characterized by comprising a display for presentation to the user.
Here, the analysis service provider, the main patent selection unit that allows the user to select the major patents among the searched patents by calculating the importance as a major patent for a plurality of searched patents, the number of family patents of the searched patents, A quantitative analysis unit that calculates quantitative importance in consideration of one or more of the number of citations, the number of independent terms, the form of rights, or the remaining period of rights, the technicality, business, right and marketability of the retrieved patent, support for patent reverse engineering, Qualitative analysis unit that calculates qualitative importance in consideration of at least one of benchmarking function and dispute avoidance, and technical, business, right and marketability of patent technology selected through the quantitative and qualitative analysis unit, and patent reverse engineering At least one of the results of support, benchmarking, and conflict avoidance to users in the form of analytic reports It further includes a report generating unit provided.
According to the customized patent analysis service system and the method as described above, a patent related to the target technology for selecting the main patent is searched, and the similarity is calculated by applying a searched technology tree and a technology network to the clustering map. By viewing, users who do not have common sense in patent analysis can help to meet the needs of R & D, benchmarking, avoiding disputes, and supporting patent reverse engineering.
1 is a block diagram showing the overall configuration of a customized patent analysis service system according to the present invention.
1 is a flowchart illustrating a customized patent analysis service method according to the present invention.
DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
1 is a block diagram showing the overall configuration of a customized patent analysis service system according to the present invention.
As shown in FIG. 2, the customized patent analysis service system 1 according to the present invention includes an internal or external patent database 10 and an input unit 20 for receiving item-specific information about a target technology as a reference. And a keyword extraction unit 30 for extracting key keywords through text mining from the information on the received target technology, and a search for searching related patents from the patent database 10 through the input or extracted key keywords. The clustering map viewer which calculates the similarity by applying the searched portion 40, the weights of item weights, keyword weights, etc., and / or a tech tree and a tech-network to the searched patents. Analysis service providing unit 50 having the unit, the tech tree and the technology network, similarity, key keywords, search patent, clustering data, etc. A storage unit 70 for temporarily or permanently storing a data and a display unit 70 for viewing and providing key patents and clustering map data selected by the analysis service provider 50 to a user. It includes.
The patent database 10 may be a patent database stored therein or may be a patent database connected to the outside by a web method. In the case of an internal patent database, it is desirable to download and store the patent data in an automated system in connection with the USPTO database, the EPO database, the KIPRIS database, and the like.
In addition, when stored in the internal patent database can be stored in the form of MDB file, the term 'patent' in the present invention is used to include the patent and utility model.
Here, in order to discover the main patents and to view the clustering map for quantitative or qualitative analysis, information on the technology, that is, the target technology, is required.
Information about the target technology may be input through the input unit 20. Although referred to as the input unit 20 in the present invention, this does not mean only the input unit of a specific hardware, of course, the user terminal connected to the patent database 10, the search unit 40 and the like by wire or wireless, that is, a personal computer (PC) It can be made of laptop, PDA, mobile phone, smartphone and so on.
The input of information on the target technology is to be input for each item, and the key keyword or key keyword is combined by a Boolean operator (AND, OR, NOT, NEAR, etc.) A combination of key keywords (hereinafter, the key keyword or a combination of key keywords in the present invention) Is referred to as 'keyword keyword').
That is, similar to the structure of the patent specification, the key keywords are classified into categories such as a summary, a name of the invention, a prior art, an object (a technical task to be achieved), a composition, an effect, and a claim, and at least, You must enter one item.
Of course, it may be input in the form of a sentence in which a plurality of characters are combined instead of the core keyword, and if the target technology is a patent document, only the application number and registration number, etc., may be input to identify and distinguish the patent document. Extract key keywords from the patent literature using mining technology.
A patent document is an atypical data consisting of a file format such as a PDF file or an electronic application form of the Patent Office.
Text mining extracts and processes useful information by applying natural language processing technology and document processing technology to such atypical data.
The keyword extractor 30 includes a text mining engine that performs a text mining function.
Briefly, the text mining process reads atypical patent documents, removes incidental words such as affixes, separates roots, and extracts key keywords, tech trees, and tech networks according to the frequency of occurrence.
The searcher 40 searches for a patent from the patent database 10 by using a text mining technique on the key keyword input by the input unit 20 or the key keyword extracted by the keyword extractor 30.
The searcher 40 may also include a text mining engine or use a text mining engine installed on a separate text mining server.
Search engines should use stemmers with spacing and spelling correction.
It applies hybrid of keyword method and n-gram method and performs core keyword search function based on text mining technology.
For example, if a user enters 'tack' as a key keyword, 'reverse osmosis water purifier' will also be searched.
This is caused by mechanically partitioning and indexing words without performing morphological analysis or semantic analysis of words.
Accordingly, the search unit 40 of the present invention allows the high-precision morphological analyzer to apply the keyword method and the n-gram method as a hybrid and to apply the key keyword (tech tree and tech network data) search technology based on the text mining technology. do.
The analysis service provider 50 evaluates the searched patents for the selection of the main patents, calculates the importance as a main patent for the searched patents, calculates the similarity based on the extracted tech tree and the tech network, and clusters the searched patents. Let's map viewer.
The analysis service provider 50 may include a main patent selection unit 51, a clustering map viewer 52, a quantitative analyzer 53, a qualitative analyzer 54, a report generator 55, and the like. .
The main patent selection unit 51 calculates the importance as a major patent for a plurality of searched patents so that a user can select a major patent among the searched patents or a searched patent having an importance of a predetermined score or more is selected as the main patent. Should be
In addition, the main patent selection unit 51 is for calculating the similarity between the target technology and the searched patent, and the similarity with the searched patent based on at least one key keyword (including tech tree and tech network) representing the target technology. It is to calculate.
To this end, classify the target technology into categories such as summary, name of invention, prior art, purpose (technical task to be achieved), composition, effect, and claims, and extract at least one key keyword for each item. Or it is preferable to receive an input.
The clustering map viewer 52 calculates the similarity by applying the searched patents to weights such as item weights, keyword weights, and / or tech tree and tech-network, and displays the same through the display unit 70. It can be viewed.
The quantitative analysis unit 53 secures a searched patent DB that can secure quantitative information such as the number of families, applicant information, number of citations, number of independent terms, type of rights, registration status, and remaining period of rights for quantitative importance calculation. Calculating the importance of quantitative factors such as the size of the family patent of the searched patent, the number of applicants filed, the size of citations, the number of independent claims, the form of rights, the registration status and the remaining period of time from the obtained searched patent DB Do it. In addition, since the quantitative importance is not to be technically analyzed the retrieved patent, but can be calculated only by grasping the quantitative degree, the quantitative information that is identified by the user and input into the main patent selection system 100 It can be secured by securing the quantitative importance calculation unit 150b.
The quantitative analysis unit 53 calculates the quantitative importance of the plurality of retrieved patents based on the obtained quantitative information. For example, by calculating the ratio of the quantitative information of the first searched patent to a predetermined score, the degree of importance of the first searched patent among the searched patents as the main patent for the target technology is obtained. Quantitative analysis of is possible.
The qualitative analysis unit 54 is for calculating the qualitative importance of any one or more of technical, business, rights and marketability, patent reverse engineering support, benchmarking function, and dispute avoidance of the technology of the searched patent. It is for calculating the qualitative importance of the technology of the retrieved patent.
Technical, business, rights and marketability, which are the criteria for calculating qualitative importance, can be based on evaluation items used in technology evaluation of the Korea Technical Exchange, etc. In this case, the reliability of qualitative importance can be increased.
On the other hand, the evaluation criteria for the qualitative importance calculation can be proposed in addition to the technical, business, rights and marketability, any criteria can be applied if the criteria for the qualitative evaluation of the search technology.
In addition, for such a qualitative analysis, a patent analysis expert know-how or a request requirement of a client company may be input through the
The report generation unit 55 may include at least one of technicality, business feasibility, rights and marketability, patent reverse engineering support, benchmarking function, and conflict avoidance for the technology of the patent selected through the quantitative and qualitative analysis units 53 and 54. The results are generated and provided to the user in the form of an analysis report.
3 is a flow chart showing a customized patent analysis service method according to the present invention. Referring to Figure 3, the customized patent analysis service method according to the present invention, the step of receiving the information on the target technology as a reference item (S10) and the text mining technology from the information on the input target technology Extracting key keywords through S20, searching for related patents from an internal or external patent database through a text mining technique with the received or extracted key keywords (S30), and searching the patents A similarity is calculated by applying a tree and a tech network to the cluster map viewer (S40).
Here, in the clustering map viewer step (S40), the user can select a major patent among the searched patents by calculating the importance as a major patent for a plurality of searched patents, or the searched patent having an importance of a predetermined score or more. It further comprises the step of being selected as a major patent.
In the step S40 of clustering map viewer, the searched patent DB for securing quantitative information such as the number of family members, applicant information, number of citations, number of independent terms, form of rights, registration status and remaining period of rights, etc. The importance of quantitative factors such as the size of the family patent of the retrieved patent, the size of the applicant's multi-filed, the number of citations, the number of independent claims, the form of registration, the registration period, and the remaining period of rights from the retrieved patent database Calculate In addition, since the quantitative importance is not to be technically analyzed the retrieved patent, but can be calculated only by grasping the quantitative degree, the quantitative information that is identified by the user and input into the main patent selection system 100 It can be secured by securing the quantitative importance calculation unit 150b.
In addition, in the clustering map viewer step (S40), the quantitative importance of a plurality of retrieved patents is calculated based on the above quantitative information. For example, by calculating the ratio of the quantitative information of the first searched patent to a predetermined score, the degree of importance of the first searched patent among the searched patents as the main patent for the target technology is obtained. Quantitative analysis of is possible.
In the clustering map viewer step (S40), technical, business, rights and marketability of the technology of the patent selected through the quantitative and qualitative analysis unit 53 (54), patent reverse design support, benchmarking function, dispute Generating at least one or more results of the evasion in the form of an analysis report, and further providing to the user.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the scope of the present invention is not limited to the disclosed embodiments, but various changes and modifications may be made without departing from the spirit and scope of the present invention. And this is also within the scope of the present invention.
Claims (5)
Extracting key keywords from the information on the input target technology through text mining technology;
Retrieving related patents from an internal or external patent database through a text mining technique with the received or extracted key keywords;
And a cluster map map viewer for calculating the similarity by applying a tech tree and a tech network to the searched patents.
In the clustering map viewer, the user can select a major patent among the searched patents by calculating the importance as a major patent for a plurality of searched patents, or a searched patent having an importance of a predetermined score or more is selected as the main patent. Customized patent analysis service method further comprising the step of enabling.
In the clustering map viewer, at least one result of technical, business, rights and marketability, patent reverse engineering support, benchmarking function, and conflict avoidance for the technology of the selected patent is determined in the form of an analysis report. Customized patent analysis service method comprising the step of generating and providing to the user.
An input unit for inputting information on a target technology, which is a standard, for each item;
A keyword extraction unit for extracting key keywords through text mining from the received information about the target technology;
A search unit for searching related patents from a patent database through the received or extracted key keywords;
An analysis service provider having a clustering map viewer configured to calculate a similarity by applying weights of the searched patents, item weights, keyword weights, etc., or a tech tree and a tech-network; ,
A storage unit for temporarily or permanently storing data including the tech tree and the tech network, similarity, key keywords, search patents, clustering data, etc .;
Customized patent analysis service system comprising a display unit for viewing and providing the main patent, clustering map data, etc. selected by the analysis service provider to the user.
The analysis service provider,
A main patent selection unit that allows a user to select a major patent among the searched patents by calculating the importance as a major patent for a plurality of searched patents;
A quantitative analysis unit that calculates quantitative importance in consideration of any one or more of the number of family patents searched, number of citations, number of independent terms, type of rights, or remaining period of rights,
A qualitative analysis unit that calculates qualitative importance in consideration of at least one of technicality, business, right and marketability, patent reverse engineering support, benchmarking function, and conflict avoidance of the retrieved patent;
Report that generates at least one result of technical, business, rights and marketability, patent reverse engineering support, benchmarking function, and conflict avoidance of the selected patent technology through the quantitative and qualitative analysis unit in the form of an analysis report and provides it to the user Customized patent analysis service system characterized in that it further comprises a generation unit.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020120092434A KR20140026796A (en) | 2012-08-23 | 2012-08-23 | System and method for providing customized patent analysis service |
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| Application Number | Priority Date | Filing Date | Title |
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| KR1020120092434A KR20140026796A (en) | 2012-08-23 | 2012-08-23 | System and method for providing customized patent analysis service |
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| KR20140026796A true KR20140026796A (en) | 2014-03-06 |
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| KR1020120092434A KR20140026796A (en) | 2012-08-23 | 2012-08-23 | System and method for providing customized patent analysis service |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180114588A (en) * | 2017-04-11 | 2018-10-19 | 위병준 | System for supporting research and development and method therefor using the same |
| CN112784026A (en) * | 2021-01-12 | 2021-05-11 | 国网江苏省电力有限公司电力科学研究院 | Patent information analysis method and device based on big data and storage medium |
| WO2022112990A1 (en) * | 2020-11-25 | 2022-06-02 | 조현철 | Method of evaluating association between query and medical content |
| KR20220073138A (en) * | 2020-11-26 | 2022-06-03 | 한국수력원자력 주식회사 | System for assessing business propriety |
| US11907278B2 (en) | 2021-10-21 | 2024-02-20 | Samsung Electronics Co., Ltd. | Method and apparatus for deriving keywords based on technical document database |
-
2012
- 2012-08-23 KR KR1020120092434A patent/KR20140026796A/en not_active Application Discontinuation
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180114588A (en) * | 2017-04-11 | 2018-10-19 | 위병준 | System for supporting research and development and method therefor using the same |
| WO2022112990A1 (en) * | 2020-11-25 | 2022-06-02 | 조현철 | Method of evaluating association between query and medical content |
| KR20220073138A (en) * | 2020-11-26 | 2022-06-03 | 한국수력원자력 주식회사 | System for assessing business propriety |
| CN112784026A (en) * | 2021-01-12 | 2021-05-11 | 国网江苏省电力有限公司电力科学研究院 | Patent information analysis method and device based on big data and storage medium |
| CN112784026B (en) * | 2021-01-12 | 2024-04-16 | 国网江苏省电力有限公司电力科学研究院 | Patent information analysis method, equipment and storage medium based on big data |
| US11907278B2 (en) | 2021-10-21 | 2024-02-20 | Samsung Electronics Co., Ltd. | Method and apparatus for deriving keywords based on technical document database |
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