구조적 학술용어사전 데이터베이스 구축에 있어서 용어의 의미관계 형성에 영향을 미치는 요인에 관한 연구

Abstract

The purpose of this study is to find factors to affect on the formation of semantic relation from terminology and what is to be affected by these factors to build the database scheme of terminology dictionary by a structural definition. In this research, 826,905 keywords of 88,874 social science articles and 985,580 keywords of 125,046 humanities science articles in the KCI journals from 2007 to 2011 were collected. From collected data, subject complexity, structural hole, term frequency, occurrence pattern and an effect between the number of nodes and the number of patterns which were derived from the semantic relation of linked terms of established ‘STNet’ System were analyzed. The summarized results from analyzed data and network patterns are as follows. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation node. Among these factors, betweenness centrality was the most effective and effective size. But term frequency was the least effective. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation type. Term frequency is the most effective. Therefore, when building a terminology dictionary, factors of betweenness centrality, term frequency, effective size, and complexity of subject are needed to select term. As a result, these factors can be expected to improve the quality of terminology dictionary. 키워드: 용어사전, 학술용어, 네트워크분석, 지적구조 Glossary, Terminology, Network Analysis, Intellectual Structure * ** 이 논문은 성균관대학교 대학원 박사학위 논문을 축약.정리한 것임. 성균관대학교 정보관리연구소 선임연구원(freesson@gmail.com) 논문접수일자: 2014년 4월 16일 최초심사일자: 2014년 5월 7일 게재확정일자: 2014년 5월 22일 한국문헌정보학회지, 48(2): 353-378, 2014. [http://dx.doi.org/10.4275/KSLIS.2014.48.2.353] 354 한국문헌정보학회지 제48권 제2호 2014