-
公开(公告)号：KR101845755B1
公开(公告)日：2018-04-06
申请号：KR1020160127693
申请日：2016-10-04
Applicant: 한국식품연구원 , 한국과학기술정보연구원
Abstract: 본발명은식재료안전지수모니터링장치, 그방법및 그방법을실행시키기위한프로그램을기록한컴퓨터로읽을수 있는기록매체에관한것으로, 본발명에따른식재료안전지수모니터링장치은식재료에관한지역별재배환경및 기상에관한정보를수집하는데이터수집부; 및상기재배환경및 기상에관한정보와식중독발생간의상관관계에관한안전진단모델에기초하여식재료안전지수를산출하는안전지수산출부를포함한다.이에의해식재료의식중독위험성을증가시킬것으로예상되는식재료의지역별재배환경에관한정보를식재료안전지수산출의기초자료로활용함으로써보다정확한식재료안전지수를산출할수 있다. 또한, 식재료안전지수를시각화함으로써, 직관적으로식재료안전에관한데이터를쉽게알 수있게해 준다.
-
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。
-
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
-
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
-
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
-
Patent Agency Ranking
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
-
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。
-
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-
公开(公告)号：KR101061393B1
公开(公告)日：2011-09-01
申请号：KR1020090108696
申请日：2009-11-11
Applicant: 한국과학기술정보연구원
Abstract: 본 발명은 그리드 컴퓨팅 기반 과학기술 지식발견 프레임 워크에 관한 것으로서, 그리드 서비스를 정의하고 최종 사용자가 직접적으로 활용할 수 있는 보다 고차원적인 분산 그리드 서비스를 제공하여, 각 단위 엔진에 가장 적합한 리소스를 할당함으로써 전체 성능을 크게 개선시킬 수 있으며, 단위 엔진 별로 요구되는 컴퓨팅 파워나 메모리 공간을 최적화된 상태로 지원함으로써 실행과정 중의 어느 한 부분이 비효율적으로 지연되는 것을 방지할 수 있는 효과가 있다.
그리드, 리소스, 컴퓨팅, 프레임워크, 알고리즘Abstract translation: 本发明通过充分被分配给发现作为一个框架，通过定义网格服务的基于计算网格技术知识最合适的资源，并提供最终用户一个更高层的配电网服务可以直接使用，每个单位发动机的 可以显著提高性能，并且它能够防止效果，作为延迟通过支持的计算能力或由发动机的各单元所需的存储器空间以优化的状态的执行过程的一个部分是无效的。
-
公开(公告)号：KR1020110062261A
公开(公告)日：2011-06-10
申请号：KR1020090118927
申请日：2009-12-03
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/278 , G06F17/277
Abstract: PURPOSE: A substitute reference solution system and method thereof are provided to improve realizing ratio of core object recognition by distinguishing core object referring to pronoun. CONSTITUTION: An anaphoric pronoun recognizing module(200) recognizes a pronoun having preceding word through the alternative pronoun, the neighboring lexical information and part of speech column information in document. A controller(100) receives the pronoun information. An antecedent extracting module(300) receives pronoun information to find a preceding word which a pronoun infers to. A pronoun recognition module uses a selection of vocabulary unit(210) and unit of a speech selecting unit(220) and recognizes a pronoun in the document.
Abstract translation: 目的：提供一种替代参考解决方案系统及其方法，以通过区分核心对象与代词来提高核心对象识别的实现比例。 构成：一个比喻代词识别模块（200）通过替代代词识别具有前一词的代词，文档中的相邻词汇信息和语音列信息。 控制器（100）接收代词信息。 先行提取模块（300）接收代词信息以找到代词推断的前一个单词。 代词识别模块使用词汇单元（210）的选择和语音选择单元（220）的单元，并识别文档中的代词。
-
-
-
-
-
-
-
-
-
Search Results
56
records
(took 0.031 seconds)
