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公开(公告)号：KR101556541B1
公开(公告)日：2015-10-02
申请号：KR1020140140576
申请日：2014-10-17
Applicant: 한국과학기술정보연구원
CPC classification number: G06F9/5083
Abstract: 본발명은고부하경로기반의복합이벤트처리장치및 그방법에관한것으로서, 메시지전송경로에대한로그패턴을분석하여고부하경로를식별하는고부하경로탐색부, 상기식별된고부하경로에따라파티션을생성하는파티션생성부를포함한다.
Abstract translation: 本发明涉及一种基于高负载路径处理复杂事件的装置和方法。 该装置包括高保持路径搜索部分，其分析消息传输路径的对数模式，并识别高负载路径; 以及分区生成部，其根据所识别的高负载路径生成分区。
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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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公开(公告)号：KR101335540B1
公开(公告)日：2013-12-03
申请号：KR1020110062387
申请日：2011-06-27
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/2785 , G06F17/30707 , G06F17/30734
Abstract: 온톨로지에 모델링된 각각의 개체명의 클래스와 클래스의 속성을 분류에 활용하는 온톨로지 기반의 문서 분류 방법 및 그에 적합한 장치가 개시된다.
온톨로지 기반의 문서 분류 방법은 각 범주에 속하는 문서들의 특성을 온톨로지로 표현하기 위해서 동일 범주에 속하는 문서들에서 공통으로 발생하는 개체들의 종류와 속성(property), 속성 관계(property relation) 을 추출하고 이를 추상화(abstraction)하여 온톨로지를 모델링하는 온톨로지 모델링 과정; 분류하고자 하는 문서로부터 개체명을 인식하는 개체명 인식 과정; 전체 범주를 대상으로 문장 분석을 통해서 개체명 사이의 관계 정보를 추출하는 개체 관계 추출 과정; 문서에서 추출된 개체명과 관계 속성을 각 범주별 온톨로지와 비교해서 개체-클래스, 개체-속성-개체로 매핑(mapping)하는 인스턴스 필링 과정; 및 필링된 클래스, 인스턴스간 관계, 클래스 속성의 가중치를 고려해서 상기 분류하고자 하는 문서에 가장 적합한 온톨로지를 선택하고, 해당 온톨로지의 분야를 분류하고자 하는 문서의 분야로 결정하는 문서 분야 결정 과정을 포함한다.-
公开(公告)号：KR101247739B1
公开(公告)日：2013-03-26
申请号：KR1020120077376
申请日：2012-07-16
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/30011 , G06F17/18 , G06F17/30616
Abstract: PURPOSE: A device for predicting a technology awareness change and a method thereof are provided to increase efficiency through the selection and concentration of core competencies by minimizing the trial and error of research and development and overlapped research prevention. CONSTITUTION: A technology statistic information extracting unit(110) analyzes documents stored in a multiple literature providing device to extract statistic information about specific technology. A technology awareness calculating unit(120) obtains a credibility value of a document from which the specific technology is extracted, a location information value in the document from which the specific technology is extracted, and an importance value of the specific technology in the document based on the statistic information in order to obtain an awareness value of the specific technology according to each document. An awareness change predicting unit(130) collects awareness values by year, obtains an average value by year, and predicts an awareness change speed of the specific technology. [Reference numerals] (100) Technology awareness change predicting device; (110) Technology statistic information extracting unit; (120) Technology awareness calculating unit; (130) Awareness change predicting unit
Abstract translation: 目的：提出一种预测技术意识变化的方法及其方法，通过最小化研究与开发的试错法和重叠的研究预防来提高核心竞争力的选择和集中，提高效率。 构成：技术统计信息提取单元（110）分析存储在多个文献提供装置中的文档，以提取关于特定技术的统计信息。 技术知识计算单元（120）获取提取特定技术的文档的可信度值，提取特定技术的文档中的位置信息值以及基于文档的特定技术的重要性值 对统计信息进行统计，以便根据每个文件获得具体技术的意识价值。 意识变化预测单元（130）按年份收集意识值，以年份获得平均值，并且预测特定技术的意识变化速度。 （附图标记）（100）技术意识变化预测装置; （110）技术统计信息提取单元; （120）技术意识计算单位; （130）意识变化预测单元
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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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Patent Agency Ranking
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：KR101133991B1
公开(公告)日：2012-07-09
申请号：KR1020090115926
申请日：2009-11-27
Applicant: 한국과학기술정보연구원
CPC classification number: G06N5/025 , G06F17/30734
Abstract: 규칙 추론기 및 이를 포함하는 와일드 패턴 규칙의 동적인 구체화 방법이 개시된다. 본 발명은 입력된 추론 규칙에 와일드 패턴 포함 유무에 따라 온톨로지 스키마(Ontology schema)를 참조하여 리티 네트워크를 구축하는 리티 네트워크 구축부, 구축된 리티 네트워크에 온톨로지(Ontology)를 입력하여 실행함으로써 추론된 트리플을 생성하고 와일드 패턴이 동적으로 구체화된 새로운 규칙을 생성하는 리티 네트워크 실행부 및 생성된 새로운 규칙을 리티 네트워크에 추가하여 리티 네트워크를 확장하는 리티 네트워크 확장부를 포함하여, 리티 네트워크에서 불필요한 패턴 매칭을 제거하여 규칙 기반의 추론 성능을 개선할 수 있다.
추론 규칙, 와일드 패턴, 와일드 패턴 규칙, 구체화, 리티 네트워크, 규칙 기반, 추론-
公开(公告)号：KR101102468B1
公开(公告)日：2012-01-05
申请号：KR1020110037799
申请日：2011-04-22
Applicant: 한국과학기술정보연구원
Abstract: PURPOSE: An apparatus and a method for predicting development speed of technology are provided to determine stages and development speed in a technology life cycle of a specific technology which is not included in the technology life cycle using the Delphi method. CONSTITUTION: A quality set generating module(130) computes the quality value of technologies included in the technology lifecycle by the search of the bibliographic database and produces quality value sets classified into the technologies using the quality value. A correct quality set generating module(140) computes the common value of the quality sets of the technologies belonging to the same stage in the technology life cycle and produces the correct quality set classified into the steps. A chronicle stage determining module(150) acquires quality information about the defined qualities by the search of the bibliographic database.
Abstract translation: 目的：提供一种用于预测技术开发速度的装置和方法，以确定技术生命周期中的技术生命周期中不包括在技术生命周期中的特定技术的阶段和开发速度。 构成：质量集生成模块（130）通过搜索书目数据库计算技术生命周期中包含的技术的质量值，并使用质量值生成分类为技术的质量值集。 正确的质量集生成模块（140）计算技术生命周期中属于同一阶段的技术的质量集合的公共值，并产生分类为步骤的正确的质量集合。 纪事台确定模块（150）通过搜索书目数据库获取关于所定义品质的质量信息。
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公开(公告)号：KR101083313B1
公开(公告)日：2011-11-15
申请号：KR1020110054015
申请日：2011-06-03
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
CPC classification number: G06F17/30513
Abstract: PURPOSE: An apparatus and method for searching an instance path based on an ontology schema are provided to quickly find complex associative relation by searching a class based inter-instance path. CONSTITUTION: A UI(User Interface) unit(208) receives two or more keywords from a user. An instance pair generator(210) creates an instance pair by obtaining instances of the keyword from an ontology instance database(202). A class pair extractor(212) extracts class pair corresponding to the instance pair from the ontology instance database. An instance path searcher(216) replaces a start and an end class of the ontology schema path into a first and a second instance and searches instance paths which are connected to the first and the second instances.
Abstract translation: 目的：提供一种基于本体模式搜索实例路径的设备和方法，通过搜索基于类的实例路径快速找到复杂关联关系。 构成：UI（用户界面）单元（208）从用户接收两个或多个关键字。 实例对生成器（210）通过从本体实例数据库（202）获得关键字的实例来创建实例对。 类对提取器（212）从本体实例数据库中提取对应于实例对的类对。 实例路径搜索器（216）将本体模式路径的开始和结束类别替换为第一和第二实例，并搜索连接到第一和第二实例的实例路径。
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