Research and Practices From the Thesaurus to Knowledge Graph

CHEN Qingyun;CAO Jianfei;CHEN Rongzhen;Shanghai Changhua Information Technology Co.,Ltd;CAE Center for Strategic Studies;Key Laboratory of Universal Wireless Communication,Beijing University of Postsand Telecom munications;

CHEN Qingyun%CAO Jianfei%CHEN Rongzhen%Shanghai Changhua Information Technology Co.,Ltd%CAE Center for Strategic Studies%Key Laboratory of Universal Wireless Communication,Beijing University of Postsand Telecom munications

simple knowledge organization system;;SKOS;;thesaurus;;graph database;;Neo4j;;knowledge graph

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 Neo4 j. These knowledge organization systems make it possible to effectively organize and manage large amounts of information data.