公开(公告)号：US20140101087A1

公开(公告)日：2014-04-10

申请号：US13726221

申请日：2012-12-24

Applicant: Korea Institute of Science and Technology Information

Inventor： Young Ho MOON ,  Kang Hoe KIM ,  Seon Ho KIM ,  Woon Dong YEO ,  Jae Woo KANG

IPC: G06N5/02

CPC classification number: G06N5/02 ,  G06F17/2235 ,  G06F17/30014 ,  G06K9/6269 ,  G06N3/08 ,  G06N99/005

Abstract: A method of evaluating a value of reference information and an apparatus for evaluating a value of reference information are disclosed. According to an embodiment of the present invention, the method includes calculating similarity values of reference relationships between the subject document and each of neighbor documents, respectively, and summing the calculated similarity values to calculate a first sum, multiplying each of the similarity values of reference relationships between the subject document and each of the neighbor documents by a corresponding value of reference information of the first reference document for each of the neighbor documents, and summing the multiplied values to calculate a second sum, and evaluating a value of reference information using a ratio of the first and second sums.

Abstract translation: 公开了一种评估参考信息的值的方法和用于评估参考信息的值的装置。 根据本发明的一个实施例，该方法包括分别计算主题文档和每个相邻文档之间的参考关系的相似度值，并将所计算的相似度值相加以计算第一和，将每个参考的相似度值相乘 通过对于每个相邻文档的第一参考文档的参考信息的对应值，对主题文档和每个相邻文档之间的关系，并且对相乘的值求和以计算第二和，并且使用 第一和第二和的比率。

公开(公告)号：US08402042B2

公开(公告)日：2013-03-19

申请号：US13477194

申请日：2012-05-22

Applicant: Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

Inventor： Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06N5/022

Abstract: A mining rule database update apparatus using a named entity dictionary and a mining rule combined with an ontology schema includes: a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a mining pattern generation module recognizing terminology from text and converting the terminology into the mining pattern; a named entity and mining rule search module searching for a corresponding named entity and a mining rule from the named entity dictionary and the mining rule database using the recognized terminology and the mining pattern; and a mining rule database update module estimating a relationship name using a named entity of the recognized terminology and the ontology schema, generating a corresponding mining rule, and storing the generated mining rule in the mining rule database depending on a user's selection.

Abstract translation: 使用命名实体字典和与本体模式结合的挖掘规则的挖掘规则数据库更新装置包括：命名实体字典和存储命名实体字典的挖掘规则数据库存储模块和挖掘规则数据库; 识别文本的术语并将术语转换为挖掘模式的挖掘模式生成模块; 命名实体和挖掘规则搜索模块使用识别的术语和挖掘模式从命名实体字典和挖掘规则数据库中搜索对应的命名实体和挖掘规则; 以及挖掘规则数据库更新模块，使用所识别的术语和本体模式的命名实体来估计关系名称，生成相应的挖掘规则，以及根据用户的选择将生成的挖掘规则存储在挖掘规则数据库中。

公开(公告)号：US20160283626A1

公开(公告)日：2016-09-29

申请号：US14404089

申请日：2014-09-03

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY INFORMATION

Inventor： Seok Jong YU

IPC: G06F17/50 ,  G06F17/30

CPC classification number: G06F17/5022 ,  G06F17/30477 ,  G06F19/12

Abstract: The present invention relates to a biological network analysis device and a method therefor. The biological network analysis method includes receiving biological data from an external server, extracting biological information from the received biological data to generate a biological interaction database, storing the generated biological interaction database, receiving input of a plurality of biological objects for a simulation, and performing a simulation by setting each of the biological objects to a node and automatically and generating a Boolean role based on the generated biological interaction database. Accordingly, the biological network analysis method conveniently designs a biological network and simulates the biological network based on biological interaction information by generating the biological interaction database.

Abstract translation: 本发明涉及一种生物网络分析装置及其方法。 所述生物网络分析方法包括从外部服务器接收生物数据，从接收到的生物数据中提取生物信息以产生生物相互作用数据库，存储生成的生物交互数据库，接收用于模拟的多个生物体的输入，以及执行 通过将每个生物对象设置为节点并自动生成并基于生成的生物交互数据库生成布尔角色来进行模拟。 因此，生物网络分析方法方便地设计生物网络，并通过生成生物相互作用数据库，基于生物相互作用信息模拟生物网络。

公开(公告)号：US20140101173A1

公开(公告)日：2014-04-10

申请号：US13726220

申请日：2012-12-24

Applicant: Korea Institute of Science and Technology Information

Inventor： Young Ho MOON ,  Kang Hoe KIM ,  Seon Ho KIM ,  Woon Dong YEO ,  Jae Woo KANG ,  Jae Min LEE

IPC: G06F17/30

CPC classification number: G06F17/30 ,  G06F17/2235 ,  G06F17/30014

Abstract: A method for providing information about a main knowledge stream is disclosed. According to an embodiment of the present invention, the method includes obtaining reference links representing reference relationships among reference documents in each of a plurality of documents stored in a database, determining one or more basic paths connecting the reference links, calculating probability values of the reference links by overlapping the determined basic paths, determining a first document among the documents and an input reference link associated with the first document, and performing a Markov chain model using a probability value of the input reference link, and calculating information about the main knowledge stream associated with the first document using the result obtained by performing the Markov chain model.

Abstract translation: 公开了一种用于提供关于主要知识流的信息的方法。 根据本发明的实施例，所述方法包括：获取表示存储在数据库中的多个文档中的每一个中的参考文档之间的参考关系的参考链接，确定连接所述参考链接的一个或多个基本路径，计算参考的概率值 通过重叠确定的基本路径，确定文档中的第一文档和与第一文档相关联的输入参考链接，以及使用输入参考链接的概率值来执行马尔科夫链模型，以及计算关于主知识流的信息 使用通过执行马尔可夫链模型获得的结果与第一文档相关联。

公开(公告)号：US08423497B2

公开(公告)日：2013-04-16

申请号：US13133447

申请日：2008-12-15

Applicant: Seung Woo Lee ,  Pyung Kim ,  Jae Han Kim ,  Han Min Jung ,  Mi Kyoung Lee ,  Dong In Park ,  Won Kyung Sung ,  Sun Hwa Hahn

Inventor： Seung Woo Lee ,  Pyung Kim ,  Jae Han Kim ,  Han Min Jung ,  Mi Kyoung Lee ,  Dong In Park ,  Won Kyung Sung ,  Sun Hwa Hahn

IPC: G06F17/00 ,  G06N5/00 ,  G06N5/02

CPC classification number: G06N5/047 ,  G06N5/04

Abstract: A system and method for hybrid Rete reasoning based on memory and DBMS are provided. The system for hybrid Rete reasoning based on memory and DBMS includes a reasoning rule type classification means for classifying an input reasoning rule as one of one or more types. A network generation means generates a network depending on the classified reasoning rule type. A network execution means derives extended triples by applying a predetermined triple to the generated network.

Abstract translation: 提供了一种基于内存和DBMS的混合Rete推理的系统和方法。 基于内存和DBMS的用于混合Rete推理的系统包括用于将输入推理规则分类为一种或多种类型之一的推理规则类型分类装置。 网络生成装置根据分类推理规则类型生成网络。 网络执行装置通过对生成的网络应用预定三元组来导出扩展三倍。

公开(公告)号：US08402113B2

公开(公告)日：2013-03-19

申请号：US13319119

申请日：2009-07-10

Applicant: Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Beom Jong You

Inventor： Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Beom Jong You

IPC: G06F15/173

CPC classification number: G06F17/3089 ,  G06F17/30731

Abstract: The present invention relates to a semantic service applying system and a method, comprising: a semantic service pipeline manager which demands and receives a particular semantic service pipeline to and from a semantic service server, and stores the corresponding pipeline in a database to manage the stored pipeline; a semantic service pipeline provider which extracts corresponding semantic service pipelines and sends the extracted pipelines to the corresponding service server if the user requests at least one of a plurality of semantic service pipelines to be provided; and a database which stores information associated with a semantic service pipeline providing server as well as the semantic service pipelines, and thus various ontology-based semantic services can be applied to the web.

Abstract translation: 本发明涉及一种语义服务应用系统和一种方法，包括：语义服务流水线管理器，其要求和接收来自语义服务服务器的特定语义服务流水线，并将相应流水线存储在数据库中以管理所存储的 管道; 如果用户请求要提供的多个语义服务管道中的至少一个，则提取相应的语义服务流水线并将提取的流水线发送到对应的服务服务器的语义服务流水线提供者; 以及存储与语义服务管道提供服务器以及语义服务管道相关联的信息的数据库，因此可以将各种基于本体的语义服务应用于web。

公开(公告)号：US08352403B2

公开(公告)日：2013-01-08

申请号：US13133573

申请日：2008-12-17

Applicant: Seung Woo Lee ,  Pyung Kim ,  Jae Han Kim ,  Han Min Jung ,  Mi Kyung Lee ,  Dong In Park ,  Won Kyung Sung ,  Sun Hwa Hahn

Inventor： Seung Woo Lee ,  Pyung Kim ,  Jae Han Kim ,  Han Min Jung ,  Mi Kyung Lee ,  Dong In Park ,  Won Kyung Sung ,  Sun Hwa Hahn

IPC: G06N5/02

CPC classification number: G06F17/30424

Abstract: An efficient reasoning system and method using a view in a DBMS-based RDF triple store are provided. The DBMS-based reasoning system includes a triple input unit for receiving a Resource Description Framework (RDF) triple. A triple examination unit examines whether the received triple conforms to RDFS subsumption relation entailment rules or Web Ontology Language (OWL) inverse relation rules. A view creation unit creates a table view when the received triple conforms to the RDFS subsumption relation entailment rules or the OWL inverse relation rules as a result of the examination. A triple storage unit stores the received triple. The DBMS-based triple store can efficiently perform reasoning based on rule rdfs7 or rdfs9, which is included in the RDFS subsumption relation entailment rules, and the OWL inverse relation rules.

Abstract translation: 提供了一种在基于DBMS的RDF三重存储中使用视图的有效推理系统和方法。 基于DBMS的推理系统包括用于接收资源描述框架（RDF）三元组的三重输入单元。 三重审查单位检查收到的三元组是否符合RDFS包含关系规定规则或Web本体语言（OWL）反向关系规则。 视图创建单元在接收到的三重符合作为检查结果的RDFS包含关系包含规则或OWL反向关系规则时创建表视图。 三重存储单元存储接收到的三元组。 基于DBMS的三层商店可以根据包含在RDFS包含关系内容规则中的规则rdfs7或rdfs9以及OWL反向关系规则有效地执行推理。

公开(公告)号：US08341171B2

公开(公告)日：2012-12-25

申请号：US13477263

申请日：2012-05-22

Applicant: Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

Inventor： Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06N5/022

Abstract: A mining rule database update apparatus using a named entity dictionary and a mining rule combined with an ontology schema includes: a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a named entity and mining rule search module searching for a corresponding mining rule and a named entity from the mining rule database and the named entity dictionary using a terminology included in an inputted mining pattern and the mining pattern; and a mining rule database update module estimating a relationship name using a named entity of the terminology and the ontology schema, generating a corresponding mining rule, and storing the generated mining rule in the mining rule database depending on user's selection.

Abstract translation: 使用命名实体字典和与本体模式结合的挖掘规则的挖掘规则数据库更新装置包括：命名实体字典和存储命名实体字典的挖掘规则数据库存储模块和挖掘规则数据库; 命名实体和挖掘规则搜索模块，其使用包括在输入的挖掘模式和挖掘模式中的术语从挖掘规则数据库和命名实体字典中搜索对应的挖掘规则和命名实体; 以及挖掘规则数据库更新模块，使用所述术语和本体模式的命名实体来估计关系名称，生成相应的挖掘规则，以及根据用户的选择将生成的挖掘规则存储在挖掘规则数据库中。

公开(公告)号：US08312041B2

公开(公告)日：2012-11-13

申请号：US12897963

申请日：2010-10-05

Applicant: Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

Inventor： Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

IPC: G06F17/30

CPC classification number: G06F17/30864

Abstract: RDF network construction device and method using an ontology schema having class dictionaries and mining rules. The RDF network construction device includes an ontology schema storing module, a class managing module, a mining rule managing module, a mining pattern creating module, and an RDF triple creating module.

Abstract translation: RDF网络构建设备和使用具有类字典和挖掘规则的本体模式的方法。 RDF网络构建装置包括本体模式存储模块，类管理模块，挖掘规则管理模块，挖掘模式创建模块和RDF三重创建模块。

公开(公告)号：US08271513B1

公开(公告)日：2012-09-18

申请号：US13406111

申请日：2012-02-27

Applicant: Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

Inventor： Han Min Jung ,  Pyung Kim ,  Seung Woo Lee ,  Mi Kyung Lee ,  Dong Min Seo ,  Won Kyung Sung

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06N5/022

Abstract: A module determining a named entity of terminology includes a named entity dictionary and mining rule database storing the named entity dictionary where named entity of terminology combined with the ontology schema and connected to concept is defined, and a mining rule database where a mining rule configured with mining pattern and RDF triple combined with the ontology schema and connected to relationship name is defined; a named entity and mining rule search unit searching for corresponding mining rule and named entity from the mining rule database and the named entity dictionary using inputted mining pattern and terminology included in the mining pattern; and a names entity selection unit selecting, if two or more named entities corresponding to the terminology are searched, named entity matching to the concept configuring the RDF triple of the searched mining rule as named entity of the terminology among the searched named entities.

Abstract translation: 确定术语的命名实体的模块包括命名实体字典和存储命名实体字典的挖掘规则数据库，其中定义了与本体模式结合并连接到概念的命名的术语实体，以及挖掘规则数据库，其中配置有 定义了挖掘模式和RDF三元组合与本体模式并连接到关系名称; 命名实体和挖掘规则搜索单元，使用挖掘模式中包含的输入挖掘模式和术语从挖掘规则数据库和命名实体字典中搜索相应的挖掘规则和命名实体; 以及姓名实体选择单元，如果搜索与所述术语相对应的两个或更多个命名实体，则命名实体与配置所搜索的挖掘规则的RDF三元组的概念作为搜索到的命名实体中的术语的命名实体进行匹配。