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System and method for discovering implicit relationships to augment web-scale knowledge base constructed from the web

机译:发现隐式关系以扩充从Web构建的Web规模知识库的系统和方法

摘要

To extract information from the implicit relationship inference between information extraction system object, and then merge or classify the objects that are included in the information tuples extracted from the text or structured database, to populate the relationship name that is included in the information tuple and it stores the structure information on the graph. After extracting any of the target object with the target object and a plurality of candidate objects it is considered to have a relationship with the object of extracting information tuple pairs, and the final information extracted from the extracted object tuple pair gives the relationship between people. ;
机译:要从信息提取系统对象之间的隐式关系推断中提取信息,然后合并或分类从文本或结构化数据库中提取的信息元组中包含的对象,以填充信息元组中包含的关系名称及其将结构信息存储在图上。在将具有目标对象和多个候选对象的目标对象中的任何一个提取出来之后,认为它与提取信息元组对的对象有关系,并且从提取的对象元组对中提取的最终信息给出人与人之间的关系。 ;

著录项

  • 公开/公告号KR101686067B1

    专利类型

  • 公开/公告日2016-12-13

    原文格式PDF

  • 申请/专利权人 한국과학기술원;

    申请/专利号KR20150109432

  • 发明设计人 김진호;류지희;맹성현;

    申请日2015-08-03

  • 分类号G06F17/30;G06F17/21;G06F17/27;

  • 国家 KR

  • 入库时间 2022-08-21 13:28:31

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