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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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公开(公告)号：KR101231818B1
公开(公告)日：2013-03-11
申请号：KR1020100107124
申请日：2010-10-29
Applicant: 한국과학기술정보연구원
IPC: G06F17/18
CPC classification number: G06F17/30734
Abstract: 전거 데이터를 효율적으로 관리함으로써 통계분석의 효율성을 제고시키는 온톨로지 기반의 통계 분석 방법이 개시된다.
온톨로지 기반의 통계 분석 방법은 통계 항목들을 대상으로 전거데이터 온톨로지를 구축하는 과정; 전거데이터 및 전거데이터 온톨로지를 기반으로 연구성과를 대상으로 연구성과 온톨로지를 구축하는 과정; 및 온톨로지 관계 정보를 이용하여 연구성과에 대한 통계 정보를 생성하는 과정을 포함한다.
제안된 온톨로지 기반의 통계 분석 방법에 따르면 동일한 개체에 대해 사용되던 이표기들을 온톨로지화하여 관리함으로써 효율적으로 통계 정보를 관리할 수 있게 하는 효과를 갖는다.
또한, 본 발명에 따른 온톨로지 기반의 통계 분석 방법에 따르면, 기존에 수작업 또는 반복적으로 처리했던 부분을 온톨로지를 통해 표현하고, 온톨로지의 관계 정보를 이용해서 다양한 통계 정보 생성에 필요한 정보로 확장할 수 있다.
또한, 통계 정보 생성에 필요한 기준간 관계를 온톨로지를 이용해서 표기함으로써 다양한 분석 기준에 따라 통계 정보를 유연하게 생성할 수 있는 효과를 갖는다.
또한, 온톨로지의 관계 정보를 통해 통계 기준을 자유롭게 관리할 수 있다.-
公开(公告)号：KR101226161B1
公开(公告)日：2013-01-24
申请号：KR1020120083208
申请日：2012-07-30
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
CPC classification number: G06F17/3071
Abstract: PURPOSE: A method for generating a distribution rule and a query analyzing device therefor are provided to generate the distribution rule for reducing a response speed of the whole system by minimizing the join calculation and a network input/output time between nodes of a distributed parallel system. CONSTITUTION: A pattern extracting/grouping unit(140) extracts a pattern from query sets included in a query list and groups the pattern based on type information in order to generate a type pattern group of a query unit. A grouping unit(150) generates a type pattern group of a service unit based on the type information. A distribution rule generating unit(160) generates a distribution rule by generating a pattern set composition file of the query unit with the type pattern group of the service unit. [Reference numerals] (100) Query analyzing device; (110) Query list DB; (120) Distribution rule DB; (130) Query list extracting unit; (140) Pattern extracting/grouping unit; (150) Grouping unit; (160) Distribution rule generating unit
Abstract translation: 目的：提供一种生成分发规则的方法及其查询分析设备，以生成分布规则，用于通过最小化连接计算和分布式并行系统的节点之间的网络输入/输出时间来降低整个系统的响应速度 。 构成：模式提取/分组单元（140）从包括在查询列表中的查询集中提取模式，并且基于类型信息对模式进行分组，以便生成查询单元的类型模式组。 分组单元（150）基于类型信息生成服务单元的类型模式组。 分发规则生成单元（160）通过利用服务单元的类型模式组生成查询单元的模式组合文件来生成分配规则。 （附图标记）（100）查询分析装置; （110）查询列表DB; （120）分配规则DB; （130）查询列表提取单元; （140）模式提取/分组单元; （150）分组单位; （160）分布规则生成单元
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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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Patent Agency Ranking
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：KR101133992B1
公开(公告)日：2012-04-09
申请号：KR1020090126555
申请日：2009-12-18
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/30734
Abstract: Disclosed is an ontology-based sameAs management system and method. The ontology-based sameAS management system according to the present invention comprises: a sameAs management server for performing an update process upon receiving a sameAs relation establishment request that includes the creation or deletion of a sameAs relation for ontology instances having different identifiers; and one or more synchronized sameAs management servers, which establish real-time synchronization with the sameAs management server and perform an update process in response to the received sameAs relation establishment request from the sameAs management server. The sameAs management system is capable of managing the creation and deletion of the sameAs relation for the ontology instances having different identifiers, and the creation of SPARQL in use of the sameAs relation.
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公开(公告)号：KR101081870B1
公开(公告)日：2011-11-09
申请号：KR1020090126605
申请日：2009-12-18
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/30734
Abstract: 본발명은온톨로지기반인스턴스식별시스템및 그방법을개시된다. 관계형데이터베이스관리시스템(RDBMS:relational database management system)의데이터를 OWL(Web Ontology Language)온톨로지의인스턴스로변환하는과정에서, 관계형데이터베이스관리시스템의데이터에고유의식별자(URI:Uniformed Resource Identifier)를부여하여정확한정보를찾거나의미간추론을통해정보의접근성을향상시킬수 있는효과가있다.
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