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| Efficient Semantic Web Document Discovery Scheme Based on Hybrid Similarity |
| Yuanfa Hu; Yuesheng Gu |
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Abstract Intelligent management of Web documents has attracted more and more attention recently due to the wide applications in various aspects of the real world. This paper proposes an efficient semantic web document discovery scheme based on the hybrid similarity of concept and instance (HSCI). With the input of a user selected Web document, HSCI can generate a number of closely related documents that originally stored in the repository. HSCI first transforms the input Web document into OWL format according to the characteristics of ontology, and then it will calculate the hybrid similarity of concept and instance between the input ontology and the documents originally stored in ontology repository, and retrieving related documents with higher similarity values. Detailed experimental results and comparisons with existed schemes show the effectiveness of HSCI in terms of precision versus recall.
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