农业图书情报 ›› 2019, Vol. 31 ›› Issue (1): 44-53.doi: 10.13998/j.cnki.issn1002-1248.2019.01.005

所属专题: 知识产权服务

• 研究论文 • 上一篇    下一篇

从叙词表到知识图谱的构建研究与实践

陈青云1, 曹建飞2, 陈荣祯3   

  1. 1.上海昌华信息技术有限公司,上海 201199;
    2.中国工程院战略咨询中心 北京 100088;
    3.北京邮电大学网络与交换技术国家重点实验室 北京 100876
  • 收稿日期:2018-01-01 出版日期:2019-01-05 发布日期:2019-03-12
  • 作者简介:陈青云(1977-),男,高级职称,研究方向:工业大数据应用,E-mail: 15810890335@139.com。曹建飞(1982-),男,硕士研究生,研究方向:知识管理与应用,E-mail: cjf@cae.cn。陈荣祯(1995-),男,硕士研究生,研究方向:自然语言语义挖掘、知识图谱,E-mail: charosen@bupt.edu.cn。
  • 基金资助:
    中国工程院“中国工程科技知识中心”“制造业知识服务系统”(项目编号:ckcest-2018-1-6)

Research and Practices From the Thesaurus to Knowledge Graph

CHEN Qingyun1, CAO Jianfei2, CHEN Rongzhen3   

  1. 1.Shanghai Changhua Information Technology Co., Ltd , Shanghai 201199, China;
    2.CAE Center for Strategic Studies, Beijing 100088, China;
    3.Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2018-01-01 Online:2019-01-05 Published:2019-03-12

摘要: 长久以来,图书情报领域致力于设计用于组织和管理大量知识信息的工具,这些工具通常被称为知识组织系统或者受控词汇表。由于多个社区和商业标准的长期独立开发,导致了各种不同的知识组织系统的出现,例如主题标引系统、叙词表、分类法等[1]。叙词表具有用、代、属、分、参等特性,存储上具有网状关系,文章采用知识图谱结构对其进行存储,使其数据推理上具有较好的效果。文章主要对以1990年《机械工程叙词表—第二版》为基本对象[2],将传统知识组织系统《机械工程叙词表》的数据重构、清洗成本文设计的SKOS结构的知识本体,使用数据存储技术,将《机械工程叙词表》的叙词转换为SKOS结构存储在图数据库Neo4j。这样的数据整理和处理,使得知识大型系统中的知识组织规范和管理大量信息数据成为可能。

关键词: 简单知识组织系统, SKOS, 叙词表, 图数据库, Neo4j, 知识图谱

Abstract: The library and information science has long been dedicated to designing tools for organizing and managing large amounts of knowledge information. These tools are often referred to as "Knowledge Organization System" (KOS) or "controlled structured vocabularies". Due to the long-term independent development of multiple community and business standard, a variety of different knowledge organization systems have emerged, such as subject heading systems, thesaurus, taxonomies. The thesaurus has the relations like "U", "UF", "BT", "NT"and "CT", which is organized as a network in storage. And This paper develops a method to store thesaurus in a knowledge graph structure, which also has a good effect in the data reasoning. In this paper, the main research was based on the 1990"Mechanical Engineering Thesauri" - Second Edition. By using data cleaning techniques, this paper reconstructed the traditional knowledge organization system "Mechanical Engineering Thesaurus" data into a SKOS knowledge ontology structure. By using data storage techniques, this paper stored the SKOS knowledge ontology structure in Graph database Neo4j. These knowledge organization systems make it possible to effectively organize and manage large amounts of information data.

Key words: simple knowledge organization system, SKOS, thesaurus, graph database, Neo4j, knowledge graph

中图分类号: 

  • G203

引用本文

陈青云, 曹建飞, 陈荣祯. 从叙词表到知识图谱的构建研究与实践[J]. 农业图书情报, 2019, 31(1): 44-53.

CHEN Qingyun, CAO Jianfei, CHEN Rongzhen. Research and Practices From the Thesaurus to Knowledge Graph[J]. Agricultural Library and Information, 2019, 31(1): 44-53.