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
- 학술저널
- 저자정보
- 발행연도
- 2006.12
- 수록면
- 1,552 - 1,559 (8page)
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초록· 키워드
오류제보하기
In a web environment, similar information exists in many different places in diverse formats. Even duplicate information is stored in the various databases using different terminologies. Since most information serviced in the current World Wide Web however had been constructed before the advent of ontology, it is practically almost impossible to construct ontology for all those resources in the web. In this paper, we assume that most information in the web environment exist in the form of l\D13MS, and propose a matching method between domain ontology and existing l\D13MS tables for semantic retrieval. In the processing of extracting a local ontology, some problems such as losing domain information can occur since the correlation of domain ontology has not been considered at all. To prevent these problems, we propose an instance-based matching which uses relational information between RDBMS tables and relational information between classes in domain ontology. To verify the efficiency of the method proposed in this paper, several experiments are conducted using the digital heritage information currently serviced in the countrywide museums. Results show that the proposed method increase retrieval accuracy in terms of user relevance and satisfaction.
목차
ABSTRACT
1. INTRODUCTION
2. RELATED RESEARCH
3. PROBLEM DEFINITION AND DESCRIPTION OF TERMS
4. EXTRACTING METADATA FROM RELATIONAL DATABASE AND EXTRACTING CLASS CANDIDATES
5. CLASS SELECTION AND RELATIONSHIP MATCHING
6. EMPIRICAL ANALYSIS
7. CONCLUSION
8. REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-004-004447984