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公开(公告)号：KR1020090114779A
公开(公告)日：2009-11-04
申请号：KR1020080040596
申请日：2008-04-30
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
CPC classification number: G06F17/30539 , G06F17/2785 , G06F2216/03
Abstract: PURPOSE: An extracting device for a semantic technological term of a high-capacity database is provided to rapidly perform technical examination, examination, and decision by searching/tracing the associative relations of the technological information, time series analysis, and classification in a real time. CONSTITUTION: An ARM(Acquisition Rule Manager) unit extracts a query language. The extracted query language is provided as a TRS(Tech Retrieval System) unit(S110). The TRS unit provides the document group of the designated technology and posting information to an analysis unit(S120). The analysis unit registers the new and seed technological term to the knowledge database(S130,S140). The document group and the information of the knowledge database is provided to a tracking unit and the related technology is traced. The traced information is outputted with a document.
Abstract translation: 目的：提供大容量数据库语义技术术语提取装置，通过实时搜索/跟踪技术信息，时间序列分析和分类的关联关系，快速进行技术检查，检查和决策 。 构成：ARM（采集规则管理器）单元提取查询语言。 提取的查询语言作为TRS（技术检索系统）单元提供（S110）。 TRS单元向分析单元提供指定技术的文档组和发布信息（S120）。 分析单元将新的种子技术术语登记到知识数据库（S130，S140）。 将文档组和知识数据库的信息提供给跟踪单元，并追踪相关技术。 跟踪的信息与文档一起输出。
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公开(公告)号：KR1020090065626A
公开(公告)日：2009-06-23
申请号：KR1020070133017
申请日：2007-12-18
Applicant: 한국과학기술정보연구원
Abstract: A method and a system for providing the information of a study which is suitable to a user concerning the relative field of the user based on a level are provided to reduce the difficulty of metabolism researchers generated in the study start in a special field. A communication unit(210) performs communication with a client. If interesting field selection information is received through the communications unit, a detailed field search unit(230) extracts the detailed field information about the field of interest. The detailed field searcher produces a user profile information input picture including the detailed field list among the extracted detailed field information. If the user profile information is received from client, a study order information generating unit(240) performs the filtering operation based on inside of the user profile information the special knowledge extent. The research order information generator produces the research order information about the field of interest.
Abstract translation: 提供了一种方法和系统，用于提供适合于用户基于用户级别的用户的相关领域的研究的信息的方法和系统，以减少在特定领域中在研究开始时产生的代谢研究人员的难度。 通信单元（210）执行与客户端的通信。 如果通过通信单元接收到感兴趣的字段选择信息，则详细字段搜索单元（230）提取关于感兴趣字段的详细字段信息。 详细的字段搜索器产生包括提取的详细字段信息中的详细字段列表的用户简档信息输入画面。 如果从客户端接收到用户简档信息，则学习订单信息生成单元（240）基于用户简档信息的特定知识范围进行过滤操作。 研究订单信息生成器产生关于感兴趣领域的研究订单信息。
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公开(公告)号：KR1020050005261A
公开(公告)日：2005-01-13
申请号：KR1020030044284
申请日：2003-07-01
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
Abstract: PURPOSE: A system and a method for searching/managing database information are provided to construct a low-cost/high-efficiency information system by forming a stable management function in addition to a search function for a database. CONSTITUTION: An index database volume(70) stores an index database. A document database volume(80) stores distributed document databases. A dictionary database volume(50) stores distributed dictionary databases. A kernel(10) performs data I/O(Input/Output) between the index/document database volume and a user memory, and manages files, directories, records, and reverse files in the index/document database volume. A storage engine(20) manages catalogs storing metadata for the databases and manages document/indexes by using the kernel. A search engine(30) performs the search for a user's query. An indexer(40) extracts the index for the document inputted from the user by using the dictionary database. A data manager(60) generates the database by receiving a schema file from a manager, loads a bundle of raw documents in bulk, and performs indexing.
Abstract translation: 目的：提供一种用于搜索/管理数据库信息的系统和方法，通过形成一个稳定的管理功能，除了数据库的搜索功能之外，构建一个低成本/高效率的信息系统。 构成：索引数据库卷（70）存储索引数据库。 文档数据库卷（80）存储分布式文档数据库。 字典数据库卷（50）存储分布式字典数据库。 内核（10）在索引/文档数据库卷和用户内存之间执行数据I / O（输入/输出），并管理索引/文档数据库卷中的文件，目录，记录和反转文件。 存储引擎（20）管理存储数据库的元数据的目录，并通过使用内核来管理文档/索引。 搜索引擎（30）执行用户查询的搜索。 索引器（40）通过使用字典数据库提取从用户输入的文档的索引。 数据管理器（60）通过从管理器接收模式文件来生成数据库，批量加载一束原始文档，并执行索引。
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公开(公告)号：KR1020040056050A
公开(公告)日：2004-06-30
申请号：KR1020020082581
申请日：2002-12-23
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
Abstract: PURPOSE: A system and a method for managing information retrieval, and a recording medium recording a program source of the same are provided to economically retrieve information by reducing the unnecessary waste of resources and retrieve the information quickly without lowering system performance by efficiently distributing the resources even if lots of information retrievals are requested. CONSTITUTION: A user terminal(01) receives an information instruction such as an information retrieval instruction and a data management instruction. A work manager(02) outputs a work order instruction by distributing/ordering the work according to the information instruction inputted from the user terminal. The information retrieval tools(03) perform the information retrieval by receiving the work order signal. The databases(06) are connected to the information retrieval tools and store data.
Abstract translation: 目的：提供一种用于管理信息检索的系统和方法，以及记录其程序源的记录介质，通过减少不必要的资源浪费和快速检索信息来经济地检索信息，而不会通过有效地分配资源来降低系统性能 即使要求很多信息检索。 构成：用户终端（01）接收诸如信息检索指令和数据管理指令之类的信息指令。 工作管理器（02）通过根据从用户终端输入的信息指令分发/排序工作来输出工作指令。 信息检索工具（03）通过接收工单信号来执行信息检索。 数据库（06）连接到信息检索工具并存储数据。
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公开(公告)号：KR1020140016784A
公开(公告)日：2014-02-10
申请号：KR1020120085253
申请日：2012-08-03
Applicant: 한국과학기술정보연구원
IPC: G06F19/28
CPC classification number: G06F19/28 , G06F17/30716 , G06F17/30731
Abstract: The present invention relates to a system and method for expanding a pathway. The present invention includes a pathway database which stores pathways which are previously formed and the system for expanding the pathway, which generates a relation event by analyzing a document if the document is newly inputted and updates the pathway according to a comparison result after the generated relation event is compared with the pathways stored in the pathway database. [Reference numerals] (100) Pathway forming system; (110) Pre-information DB; (120) Relationship information DB; (140) Object recognition unit; (150) Relationship recognition unit; (160) Relations event recognition unit; (170) Pathway update unit; (180) Visualization unit; (190) Validation unit; (200) Pathway DB
Abstract translation: 本发明涉及用于扩展路径的系统和方法。 本发明包括存储先前形成的路径的路径数据库和用于扩展路径的系统，其通过在文档被新输入时分析文档来生成关系事件，并且在生成关系之后根据比较结果来更新路径 事件与存储在途径数据库中的路径进行比较。 （附图标记）（100）路径形成系统; （110）预信息DB; （120）关系信息DB; （140）对象识别单元; （150）关系识别单位; （160）关系事件识别单位; （170）路径更新单元; （180）可视化单位; （190）验证单位; （200）路径DB
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Patent Agency Ranking
公开(公告)号：KR101243063B1
公开(公告)日：2013-03-13
申请号：KR1020120085254
申请日：2012-08-03
Applicant: 한국과학기술정보연구원
IPC: G06F19/28
CPC classification number: G06F17/30696 , G06F17/30864 , G06F19/12 , G06F19/24
Abstract: PURPOSE: A pathway construction system and a method thereof are provided to recognize words expressing protein, diseases, enzymes, medicines, compounds, and symptoms from a biofield-related document, thereby automatically constructing a pathway. CONSTITUTION: An entity recognition unit(140) recognizes words by performing morpheme analysis, syntax analysis, and semantic analysis for an input document. A relation recognition unit(150) recognizes a relation between entities by extracting context between the entities and making the context as a pattern defined in a normalized dictionary database. A related event generation unit(160) generates a related event by performing a web search for the entities. The related event generation unit generates the related event by collecting a document including the entities and space information in cells of the entities. A pathway generation unit(170) generates a pathway by displaying the entities in a space of a cell based on the related event. [Reference numerals] (100) Pathway construction system; (110) Dictionary information DB; (120) Relation information DB; (130) Pathway DB; (140) Entity recognition unit; (150) Relation recognition unit; (160) Related event generation unit; (170) Pathway generation unit; (180) Visualization unit; (190) Verification unit
Abstract translation: 目的：提供一种途径构建系统及其方法，从生物场相关文件中识别表达蛋白质，疾病，酶，药物，化合物和症状的词，从而自动构建途径。 构成：实体识别单元（140）通过对输入文档执行语素分析，语法分析和语义分析来识别单词。 关系识别单元（150）通过提取实体之间的上下文并将上下文作为在归一化字典数据库中定义的模式来识别实体之间的关系。 相关事件生成单元（160）通过对这些实体执行网络搜索来生成相关事件。 相关事件生成单元通过在实体的单元中收集包括实体和空间信息的文档来生成相关事件。 路径生成单元（170）通过基于相关事件在小区的空间中显示实体来生成路径。 （附图标记）（100）通道施工系统; （110）词典信息DB; （120）关系信息DB; （130）通路DB; （140）实体识别单元; （150）关系识别单元; （160）相关事件发生单元; （170）途径生成单位; （180）可视化单位; （190）验证单元
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公开(公告)号：KR101240330B1
公开(公告)日：2013-03-11
申请号：KR1020120077375
申请日：2012-07-16
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/3071 , G06F17/2795
Abstract: PURPOSE: A multi-dimensional document classification system and a method thereof are provided to improve document classification efficiency by applying a document classification algorithm to a group generated by grouping classification systems. CONSTITUTION: A classification system generation unit(210) generates a part classification system based on stored learning target documents. A quality extraction unit(220) extends qualities by extracting the qualities from the learning target document of the part classification system. A classifier generation unit(230) generates a learning model for the part classification system by using the extracted or extended qualities. When a new document is inputted, a document classification unit(250) classifies the document based on a learning model including the qualities by extracting the qualities from the inputted document. [Reference numerals] (200) Classifier; (210) Classification system generation unit; (220) Quality extraction unit; (230) Classifier generation unit; (240) Learning model DB; (250) Document classification unit
Abstract translation: 目的：提供一种多维文档分类系统及其方法，通过将文档分类算法应用于通过分组分类系统生成的组来提高文档分类效率。 构成：分类系统生成单元（210）基于存储的学习目标文档生成部分分类系统。 质量提取单元（220）通过从部件分类系统的学习目标文档中提取质量来扩展质量。 分类器生成单元（230）通过使用提取的或扩展的质量来生成用于分类系统的学习模型。 当输入新文档时，文档分类单元（250）通过从输入的文档中提取质量，基于包括质量的学习模型对文档进行分类。 （附图标记）（200）分类器 （210）分类系统生成单元; （220）质量提取单位; （230）分类器生成单元; （240）学习模型DB; （250）文件分类单位
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公开(公告)号：KR101226162B1
公开(公告)日：2013-01-24
申请号：KR1020120083210
申请日：2012-07-30
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
CPC classification number: G06F17/30569 , G06F17/30321 , G06F17/30598
Abstract: PURPOSE: A method for converting ontology data into graph data and a device thereof are provided to guarantee a quick response speed of data search by converting the ontology data into the graph data. CONSTITUTION: An ontology information obtaining unit(210) obtains schema information and instance information from an ontology database. A data analyzing unit(220) analyzes the schema information and the instance information to generate an instance property list including class information, a relation information list displaying multi relation information of the instances, and an instance list including the instances including a class. A storage control unit(230) stores the instance property list, the relation information list, and the instance list in a database. [Reference numerals] (200) Data converter; (210) Ontology data obtaining unit; (220) Data analyzing unit; (230) Storage control unit
Abstract translation: 目的：提供将本体数据转换为图形数据的方法及其装置，以通过将本体数据转换为图形数据来保证数据搜索的快速响应速度。 构成：本体信息获取单元（210）从本体数据库获取模式信息和实例信息。 数据分析单元（220）分析模式信息和实例信息以生成包括类信息的实例属性列表，显示实例的多重关系信息的关系信息列表以及包括类的实例的实例列表。 存储控制单元（230）将实例属性列表，关系信息列表和实例列表存储在数据库中。 （附图标记）（200）数据转换器; （210）本体数据获取单元; （220）数据分析单元; （230）存储控制单元
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公开(公告)号：KR1020120047377A
公开(公告)日：2012-05-14
申请号：KR1020100108666
申请日：2010-11-03
Applicant: 한국과학기술정보연구원
Abstract: PURPOSE: A feature generating method for recognizing an entity of machine learning is provided to generate a word unit feature suitable of a named entity recognition system. CONSTITUTION: A word in named entity dictionary is discriminated in a paragraph. The kind of word in named entity dictionary is discriminated. A word unit having the kind of named entity is given. The quality of the word by word is generated. The feature of the word unit, which is generated from the named entity dictionary is integrated.
Abstract translation: 目的：提供一种用于识别机器学习实体的特征生成方法，用于生成适用于命名实体识别系统的单词特征。 构成：命名实体字典中的一个词在一段中被区分开来。 命名实体字典中的这种词被歧视。 给出了具有命名实体种类的单元。 生成单词的质量。 从命名实体字典生成的单词单元的特征被集成。
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公开(公告)号：KR101104113B1
公开(公告)日：2012-01-13
申请号：KR1020090108695
申请日：2009-11-11
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/30731
Abstract: 본 발명은 기술용어 간 관계 추출용 테스트 컬렉션 반자동 구축을 위한 시스템에 관한 것으로서, 문헌에 존재하는 기술용어와 이들 간의 연관관계를 언어 자원을 기반으로 시스템적으로 처리하여, 제한된 문헌과 개체들을 기반으로 소규모의 테스트 컬렉션을 구축하는 기존의 접근법에서 벗어나 대규모의 학술 데이터 베이스와 다양한 분야의 전문용어 사전, 그리고 최신의 기계학습 알고리즘을 활용하여 실용적인 테스트 컬렉션을 구축하는 기술용어 간 관계 추출용 테스트 컬렉션 반자동 구축을 위한 시스템을 제공하여, 정형화되고 시간이 많이 소요되는 작업을 자동화시킴으로써, 구축자의 노력을 최소화할 수 있고, 구축자의 성향에 따라 발생하는 결과의 편차를 줄일 수 있는 효과가 있다
테스트 컬렉션, 트리플, 연관관계
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