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Knowledge Map Service based on Ontology of Nation R&D Information

국가R&D정보에 대한 온톨로지 기반 지식맵 서비스

  • Kim, Sun-Tae (Science Data Research Center, KISTI) ;
  • Lee, Won-Goo (Dept. of Computer Information, Chungnam State University)
  • 김선태 (한국과학기술정보연구원 과학데이터연구센터) ;
  • 이원구 (충남도립대학교 컴퓨터정보과)
  • Received : 2016.01.24
  • Accepted : 2016.03.20
  • Published : 2016.03.28

Abstract

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patent, and project reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer the further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a RDB-to-Triples transformer is implemented. Lastly, we show an experiment on R&D data integration using the lightweight ontology, triples generation, and visualization and navigation of the knowledge map.

Keywords

Knowledge Map;Ontology;National R&D;S&T;Topic Modeling

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