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A Study on the Optimization of Semantic Relation of Author Keywords in Humanities, Social Sciences, and Art and Sport of the Korea Citation Index (KCI)

한국학술지인용색인(KCI)의 인문학, 사회과학, 예술체육 분야 저자키워드의 의미적 관계 유형 최적화 연구

  • 고영만 (성균관대학교 문과대학 문헌정보학과) ;
  • 송민선 (성균관대학교 정보관리연구소) ;
  • 이승준 (성균관대학교 정보관리연구소)
  • Received : 2015.01.26
  • Accepted : 2015.02.10
  • Published : 2015.02.28

Abstract

The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.

Keywords

Author Keyword;Scientific Term;Property;Korea Citation Index;KCI;Structural Terminology Net;STNet Semantic Relation;Relation Type

Acknowledgement

Supported by : 한국연구재단

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