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61.发明授权온톨로지 스키마와 결합된 개체명 사전 및 마이닝 규칙을 이용한 개체명 사전 또는 마이닝 규칙 데이터베이스 갱신 장치 및 방법 有权有名称的实体数据库或采矿规则数据库更新装置和使用命名实体数据库和采矿规则合并的本体论
公开(公告)号：KR101009924B1
公开(公告)日：2011-01-20
申请号：KR1020100060280
申请日：2010-06-25
Applicant: 한국과학기술정보연구원
CPC classification number: G06N5/022
Abstract: PURPOSE: An apparatus for updating named entity database or mining rule database update is provided to manage language resources in a predetermined way by connecting the named entity database and mining rule database with an ontology schema. CONSTITUTION: A mining pattern generating module(130) recognizes a term from the text, and changes the text into the mining pattern. A name entity and mining rule search module(120) searches the name entity and mining rule database(110) using term and mining pattern. In case the name entity is not searched and the mining regulation is searched, the entity name database updating module(140) assumes the named entity based on the mining rule, and stores named entity in advance stores the name entity to the entity name dictionary.
Abstract translation: 目的：提供一种用于更新命名实体数据库或挖掘规则数据库更新的装置，以通过将命名实体数据库和挖掘规则数据库与本体模式相连接来以预定的方式来管理语言资源。 构成：挖掘模式生成模块（130）从文本识别术语，并将文本改变为挖掘模式。 名称实体和挖掘规则搜索模块（120）使用术语和挖掘模式搜索名称实体和挖掘规则数据库（110）。 在搜索名称实体并且搜索挖掘规则的情况下，实体名称数据库更新模块（140）基于挖掘规则假定命名实体，并且预先存储命名实体将名称实体存储到实体名称字典。
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公开(公告)号：KR101861180B1
公开(公告)日：2018-05-28
申请号：KR1020170135614
申请日：2017-10-19
Applicant: 한국과학기술정보연구원
Abstract: 본발명은다양한바이오패스웨이관련기관에서다양한바이오패스웨이기술언어(KGML, SBML, BIOPAX 등)를사용하여바이오패스웨이를개별적독립적으로구축하기때문에이질적인언어로표현된바이오패스웨이를효과적으로통합하고확장하기위함이다. 이를위해본 발명은, 적어도하나이상의바이오패스웨이를입력받는제 1 입력모듈; 상기적어도하나이상의바이오패스웨이를제1언어로변환하는언어통일모듈; 상기제1언어로변환된적어도하나이상의바이오패스웨이를노드또는관계로분리하는분리모듈; 상기노드또는관계를표준용어로표준화하고상기노드또는관계의형태로분리된적어도하나이상의바이오패스웨이로부터상기노드또는관계와관련된속성정보를추출하는표준화모듈; 상기노드또는관계로분리된적어도하나이상의바이오패스웨이를통합하는통합모듈; 상기통합된바이오패스웨이를확장하기위한확장정보를생성하는문헌지식화모듈; 및상기생성된확장정보를이용하여상기통합된바이오패스웨이를확장하는확장모듈을포함한다.
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公开(公告)号：KR1020130139393A
公开(公告)日：2013-12-23
申请号：KR1020110097384
申请日：2011-09-27
Applicant: 한국과학기술정보연구원
CPC classification number: G06Q30/0201 , G06F17/247 , G06F17/27 , G06Q50/18 , G06Q2250/90
Abstract: The present relates to a method and a system for providing technology relevance information, and includes (a) a step of obtaining technology relevancy information including subjects related to a certain technology and the technological level or the entry point of the subjects and (b) a step of generating a graph based on the contents of the obtained technology relevancy information to display the technology relevancy information. The present invention is capable of displaying subjects related to a certain technology and the technological level or the entry point of the subjects on a graph. [Reference numerals] (100) Multiplex literature providing device;(200) Technology relevance information building device;(300) Technology relevance information providing device;(AA) Communication network
Abstract translation: 本发明涉及一种用于提供技术相关性信息的方法和系统，并且包括（a）获得技术相关性信息的步骤，所述技术相关性信息包括与某一技术相关的主题以及所述科目的技术水平或入口点，以及（b） 基于获得的技术相关性信息的内容生成图形以显示技术相关性信息的步骤。 本发明能够在图表上显示与某些技术相关的主题以及科目的技术水平或入场点。 （100）多路文献提供装置;（200）技术相关信息构建装置;（300）技术相关信息提供装置;（AA）通信网络
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公开(公告)号：KR101334714B1
公开(公告)日：2013-11-29
申请号：KR1020110064458
申请日：2011-06-30
Applicant: 한국과학기술정보연구원
Abstract: 본 발명은 자질집합 확장 시스템 및 방법에 관한 것으로, 문헌들이 저장된 복수 개의 문헌 데이터베이스, 기술들과 그 기술들의 연관기술들이 정의된 기술관계 사전, 상기 문헌 데이터베이스의 문헌들을 분석하여 기술관계 사전 내 기술들의 연관기술들에 대한 자질집합과 각 기술별 연구주체들의 자질집합을 생성하고, 개별 자질을 조합하여 기술별 및 연구주체별 자질집합을 확장하는 자질집합 확장 장치를 포함한다.
따라서 본 발명에 따르면, 다수 및 다종의 문헌들을 활용하여 이질적인 문헌들 상에서 확보할 수 있는 기술 또는 연구주체들에 대한 정보를 제공할 수 있다.-
公开(公告)号：KR1020130082781A
公开(公告)日：2013-07-22
申请号：KR1020110137270
申请日：2011-12-19
Applicant: 한국과학기술정보연구원
CPC classification number: G06Q50/18 , G06F17/30011 , G06Q10/0637
Abstract: PURPOSE: A promising technology determination method and a system thereof are provided to search for technologies in a variety of documents and to offer information about fast rowing technologies, technologies related and similar to the leading technologies, and soon-to-be-stabilized technologies, thereby enabling the forecast of the technologies. CONSTITUTION: A promising technology determination system extracts technologies and years by analyzing documents which are stored in a multi-document providing system (S702) and accumulates the documents related to each technology by year (S704). The promising technology determination system calculates the relative growth rate and the average growth rate of each technology using the accumulation number of documents by year (S706). The promising technology determination system picks technologies of which the ratio of the accumulated number of documents for a preset recent period of time to the accumulated number of documents for a preset past period of time is greater than a certain value (S708). The promising technology determination system examines whether or not the relative growth rate of the picked technologies is equal to or greater than the average growth rate (S710). If the relative growth rate of a technology, among the picked technologies, is equal to or greater than the average growth rate, the technology is determined as a promising technology (S712). If not, the technology is selected and stored as a candidate promising technology (S714), and then the S710 is performed. [Reference numerals] (AA) Start; (BB) End; (S702) Analyze documents stored in a multi-document providing system to extract technologies and years; (S704) Accumulate documents related to each technology by year; (S706) Calculate the relative growth rate and the average growth rate of each technology using the annual accumulation number of documents related to each technology; (S708) Any technology of which the ratio of the accumulated number of documents for a recent period of time to the accumulated number of documents for a past period of time is greater than a certain value exists?; (S710) Relative growth rate is equal to or greater than the average growth rate?; (S712) Determine the technology as a promising technology; (S714) Select and store the technology as a new candidate promising technology
Abstract translation: 目的：提供一种有希望的技术确定方法及其系统，以搜索各种文件中的技术，并提供有关快速划船技术，与领先技术相关的技术和类似于即将稳定的技术的信息， 从而实现对技术的预测。 规定：有希望的技术决定系统通过分析存储在多文档提供系统中的文档（S702）提取技术和年份，并按年份累积与每种技术相关的文件（S704）。 有希望的技术决定系统使用年份的文件累计数量来计算每种技术的相对增长率和平均增长率（S706）。 有希望的技术确定系统选择技术，其中预设的近期时间段的文档的累积比例与预设的一段时间内的文档的累积数量的比例大于一定值（S708）。 有希望的技术决定系统检查所选技术的相对增长率是否等于或大于平均增长率（S710）。 如果一项技术的相对增长率在所选技术之中等于或大于平均增长率，则该技术被确定为有希望的技术（S712）。 如果不是，则选择并存储该技术作为候选有前途的技术（S714），然后执行S710。 （附图标记）（AA）开始; （BB）结束; （S702）分析存储在多文档提供系统中的文档，以提取技术和年份; （S704）按年度累计每项技术相关文件; （S706）使用每个技术相关文件的年度积累数来计算每种技术的相对增长率和平均增长率; （S708）任何一种技术，其中最近一段时间的文件的累积数量与过去一段时间的文件的累积数量之比大于某一值？ （S710）相对增长率等于或大于平均增长率; （S712）将技术确定为有前途的技术; （S714）选择并存储技术作为新的候选有前途的技术
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Patent Agency Ranking
公开(公告)号：KR1020130003261A
公开(公告)日：2013-01-09
申请号：KR1020110064458
申请日：2011-06-30
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/30722 , G06F17/2705
Abstract: PURPOSE: A feature set extending system and a method thereof are provided to supply information about a research subject or technology secured from different kinds of literature by using a number of and different kinds of literature. CONSTITUTION: A literature database(100) stores literature. A technology relation dictionary(300) defines technologies and technologies related to the technologies. A feature set extending device(200) analyzes literature of the literature database to generate a feature set of research subjects by technologies and a feature set of the related technologies in the technology relation dictionary. The feature set extending device combines individual features to extend a feature set by technologies and research subjects. The literature database stores theses, patents, learning data, standards, numeric data, news, and advertisements provided from portal sites. [Reference numerals] (100a,100n) Literature database; (200) Feature set extending device; (300) Technology relation dictionary; (AA) Communication network
Abstract translation: 目的：提供一种特征集扩展系统及其方法，以通过使用多种不同类型的文献来提供关于研究对象或来自不同种类文献的技术的信息。 规定：文献数据库（100）存储文献。 技术关系词典（300）定义与技术相关的技术和技术。 特征集扩展装置（200）分析文献数据库的文献，通过技术和技术关系词典中的相关技术的特征集来生成研究对象的特征集。 功能集扩展设备结合了各种功能，通过技术和研究对象扩展了功能集。 文献数据库存储从门户网站提供的论文，专利，学习数据，标准，数字数据，新闻和广告。 （附图标记）（100a，100n）文献数据库; （200）特征集延伸装置; （300）技术关系词典; （AA）通信网络
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公开(公告)号：KR1020130001552A
公开(公告)日：2013-01-04
申请号：KR1020110062387
申请日：2011-06-27
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/2785 , G06F17/30707 , G06F17/30734
Abstract: PURPOSE: An ontology based document classification method and a device are provided to express structure of a document involved in each classification with ontology and extract a relation attribute among entities from the document, thereby determining the classification through comparison with an ontology structure. CONSTITUTION: An entity name extraction module(402) reads a document and extracts an entity. An entity relation extraction module(404) extracts a relation among entities. An instance filling module(406) maps entity-class and entity-attribute entity. A document class determination module(408) calculates similarity between ontology and the document based on a filling result. The document class determination module outputs an ontology field having the biggest similarity. [Reference numerals] (402) Entity name extraction module; (404) Entity relation extraction module; (406) Filling module; (408) Document class determination module; (412) Ontology modeling module; (414) Representative civil affair document determination module
Abstract translation: 目的：提供一种基于本体的文档分类方法和装置，用于表达本体的每个分类涉及的文档的结构，并从文档中提取实体之间的关系属性，从而通过与本体结构进行比较来确定分类。 构成：实体名称提取模块（402）读取文档并提取实体。 实体关系提取模块（404）提取实体之间的关系。 实例填充模块（406）映射实体类和实体属性实体。 文档类确定模块（408）基于填充结果计算本体和文档之间的相似度。 文档类确定模块输出具有最大相似度的本体场。 （附图标记）（402）实体名称提取模块; （404）实体关系提取模块; （406）灌装模块; （408）文件类确定模块; （412）本体建模模块; （414）代表民事文件确定模块
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公开(公告)号：KR101143466B1
公开(公告)日：2012-05-10
申请号：KR1020110096878
申请日：2011-09-26
Applicant: 한국과학기술정보연구원
CPC classification number: G06Q10/10 , G06F17/30604 , G06Q30/02
Abstract: PURPOSE: A research correlation service providing method and system thereof are provided to sort comparing subjects based on a research correlation by respectively acquire the research correlation between the comparing subject and a specific subject. CONSTITUTION: A research correlation calculation module(240) acquires research technology of a specific performance subject. The performance subjects respectively acquire research technologies by acquiring comparing subjects according to the acquired research technologies. A research correlation information providing module(250) provides research correlation information by sorting the comparing subjects.
Abstract translation: 目的：提供一种研究相关服务提供方法和系统，用于通过分别获得比较对象与特定对象之间的研究相关性，基于研究相关性对比较对象进行排序。 构成：一个研究相关计算模块（240）获取了具体表现主体的研究技术。 表演科目通过根据获得的研究技术获取比较科目，分别获得研究技术。 研究相关信息提供模块（250）通过对比较对象进行排序来提供研究相关信息。
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公开(公告)号：KR101137973B1
公开(公告)日：2012-04-20
申请号：KR1020110113327
申请日：2011-11-02
Applicant: 한국과학기술정보연구원
IPC: G06Q10/06
CPC classification number: G06F17/30011 , G06Q10/10
Abstract: PURPOSE: A method for providing an associated technology service and a system thereof are provided to obtain the research association by acquiring performing subjects of a specific technology and major research technologies for each performing subject. CONSTITUTION: A database constructing module(210) extracts and accumulates technology and performing subjects. The database constructing module constructs a performing subject for each technology or a database storing the technologies which each performing subject researches. A technology association calculating module(240) obtains performing subjects for a specific technology selected by an input module(230). The technology association calculating module individually obtains major research technologies.
Abstract translation: 目的：提供一种用于提供相关技术服务的方法及其系统，以通过获取每个执行主体的特定技术的执行主题和主要研究技术来获得研究协会。 构成：数据库构建模块（210）提取和累加技术并执行主题。 数据库构建模块为每个技术构建执行主题或存储每个执行主题研究的技术的数据库。 技术关联计算模块（240）获得由输入模块（230）选择的特定技术的执行对象。 技术关联计算模块分别获得主要研究技术。
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公开(公告)号：KR101067830B1
公开(公告)日：2011-09-27
申请号：KR1020100097797
申请日：2010-10-07
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/30943
Abstract: 본 발명은 다중 자원의 통합에 의한 자원 검색 장치 및 방법에 관한 것으로서, 각 기술분야에 대한 기술용어가 정의된 기술용어 사전 및 문맥 패턴 정보가 저장된 데이터베이스, 각 자원별로 상기 기술용어 사전을 이용하여 입력 문서에서의 기술용어를 인식하고, 상기 문맥 패턴 정보를 이용하여 상기 인식된 기술용어간의 관계를 생성하는 기술용어 인식 및 관계 생성 모듈, 서로 다른 다중 자원에서 상기 인식된 기술용어와 기술용어간의 관계를 통합 온톨로지로 매핑하여 저장하고, 상기 통합 온톨로지에 대한 추론을 수행하여 통합 지식베이스를 확장하는 지식베이스 구축 모듈, 사용자에 의해 입력된 기술분야에 대한 자원 검색 정보 제공이 요청된 경우, 상기 기술분야에 대한 연구주체유형 및 자원유형을 선택하기 위한 유형 선택 화면을 제공하여 연구주체유형 및 자원유형을 입력받는 유형 선택 모듈, 상기 통합 지식베이스를 검색하여 상기 기술분야를 다루는 상기 연구주체유형에 해당하는 하나 이상의 대표 연구주체를 획득하고, 상기 획득된 대표 연구주체들에 대해 상기 입력된 자원유형에 해당하는 자원 검색 정보를 각각 획득하는 자원 검색 정보 획득 모듈, 상기 획득된 자원 검색 정보를 상기 자원유형들을 축으로 하는 그래프상에 표시하여 제공하는 자원 검색 정보 제공 모듈을 포함한다.
따라서, 본 발명에 따르면 사용자에 의해 입력된 연구주체유형 및 자원유형에 따른 검색정보를 그래프 상에 연도순으로 정렬하여 제공하므로, 해당 연구주체에 대한 기술 동향을 파악하고, 향후 동향을 예측할 수 있는 효과가 있다.
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