- P-ISSN1013-0799
- E-ISSN2586-2073
- KCI
Descriptor Profiling for Research Domain Analysis
Abstract
This study aims to explore a new technique making complementary linkage between controlled vocabularies and uncontrolled vocabularies for analyzing a research domain. Co-word analysis can be largely divided into two based on the types of vocabulary used: controlled and uncontrolled. In the case of using controlled vocabulary, data sparseness and indexer effect are inherent drawbacks. On the other case, word selection by the author's perspective and word ambiguity. To complement each other, we suggest a descriptor profiling that represents descriptors(controlled vocabulary) as the co-occurrence with words from the text(uncontrolled vocabulary). Applying the profiling to the domain of information science implies that this method can complement each other by reducing the inherent shortcoming of the controlled and uncontrolled vocabulary.
- keywords
- descriptor, author, profiling, domain analysis, intellectual structure, mapping, co-word analysis, controlled vocabulary, uncontrolled vocabulary, descriptor, author, profiling, domain analysis, intellectual structure, mapping, co-word analysis, controlled vocabulary, uncontrolled vocabulary, 디스크립터, 저자, 프로파일링, 연구 동향 분석, 지적 구조, 매핑, 동시출현단어분석, 통제어휘, 비통제어휘, descriptor, author, profiling, domain analysis, intellectual structure, mapping, co-word analysis, controlled vocabulary, uncontrolled vocabulary
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