원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.5
2015.05
pp.241-252
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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
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
저자정보
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