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A Study on Updating the Knowledge Structure Using New Topic Detection Methods
Abstract
This study utilizes various approaches for new topic detection in the process of assigning and updating descriptors, which is a representation method of the knowledge structure. Particularly in the case of occurring changes on the knowledge structure due to the appearance and development of new topics in specific study areas, new topic detection can be applied to solving the impossibility or limitation of the existing index terms in representing subject concepts. This study confirms that the majority of newly developing topics in information science are closely associated with each other and are simultaneously in the phase of growth and development. Also, this study shows the possibility that the use of candidate descriptor lists generated by new topic detection methods can be an effective tool in assisting indexers. In particular, the provision of candidate descriptor lists to help assignment of appropriate descriptors will contribute to the improvement of the effectiveness and accuracy of indexing.
- keywords
- 디스크립터, 지식 구조 갱신, 새로운 주제 탐지, 새것 탐지, 신성 주제 탐지, 색인 지원 도구, descriptors, knowledge structure updating, new topic detection, novelty detection, emerging trend detection, indexing aid
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