The Construction of URI-Based Human Resource Information from Science and Technology Papers

과학기술 문헌으로부터의 URI 기반 인력정보 구축

  • 정한민 (한국과학기술정보연구원 정보시스템연구팀) ;
  • 이승우 (한국과학기술정보연구원 정보시스템연구팀) ;
  • 성원경 (한국과학기술정보연구원 정보시스템연구팀) ;
  • 강인수 (한국과학기술정보연구원 정보시스템연구팀)
  • Published : 2006.09.01

Abstract

The development of Semantic Web basically requires knowledge induced from the formalization and semantization of information, and thus ontology should be introduced as a knowledgization tool. URI(Universal Resource Identifier) is an indispensible scheme to uniquely indicate individuals on ontology. However, it is difficult to find the use cases of URI in real data including science and technology papers. This paper describes the method to construct internal and external human resource information based on URI from the papers. We use co-authors, e-mails, publication date, and affiliation for discriminating authors with the same strings. HRST(Human Resources devoted to Science and Technology) is referred to acquire URIs for human resource. We expect the internal and external human resource information would be adopted to outcome analysis applications such as researcher network analysis and outcome statistics.

Keywords

URI(Uniform Resource Identifier);Human Resources;Ontology;Semantic Web