The gradual finding of large quantities of low-relevant or even non-relevant information is returned by the traditional keyword-based query. To further improve the efficiency and quality of network learning resources retrieval, this article designs a generic Semantic Web-based e-learning resources retrieval system model and achieves B/S mode of semantic retrieval prototype system, considering the influence of various factors for the similarity and correlation, such as degree of semantic overlap, semantic distance, semantic hierarchy, and property relation. By comparing with the traditional query, the retrieval results showed that the semantic retrieval methods to ensure precision in the case of a higher recall rate.
목차
Abstract 1. Introduction 2. Related Theories 2.1. Semantic Web 2.2. Extensive Markup Language (XML) 2.3. Resource Description Framework(RDF) 2.4. Ontology 3. Design of System Model 3.1. Achievement of Network Learning Resources 3.2. Establishment of Index for Resource Libraries 3.3. Semantic Expansion of Search Keywords 4. Similarity and Correlation 4.1. Computation of Similarity 4.2 Computation of Correlation 5. System Implementation and Result Analysis 5.1 System's Developing Platform and Tool 5.2 Homepage of Retrieval 5.3 Implementation of Computation of Semantic Similarity and Correlation 5.4 Retrieval Results and Feedbacks 5.5 Test of Experimental System and Result Analysis 6. Conclusion Acknowledgements References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.5