지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.4
- 수록면
- 89 - 95 (7page)
이용수
초록· 키워드
오류제보하기
Ontology is a framework for organizing information. It describes resources which are the objects of information systems and their relationships definitely and specifically. This characteristic of ontology enables intelligent information searching in many areas. Although the efficiency of searching itself has been improved, the reasonable methodology for classifying search result remains as an issue. Search result often consists of many items, so an efficient classification system can help users save the time reviewing items irrelevant to his purpose. Furthermore, most present classification systems are not dynamic; they are based on pre-defined categories. In this paper, we propose a novel classification methodology which can dynamically classify search result of ontology-based contents, specifically movies in considering of their similarities.
목차
Abstract
1. Introduction
2. Related Work
3. Dynamic classification using information gain
4. Experiment
5. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2013-566-003253530