Knowledge Modeling and Semantic Retrieval for Sports Information Based on Ontology

Jun Zhai; Meng Li; Pan Sun

doi:10.4028/www.scientific.net/AMR.187.45

Paper Titles

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Monitoring Study on the Influence of Hainan International Tourism Island Construction to the Mangrove Forest Based on RS and GIS
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Simulation of Conflicts Resolution in Virtual Teams
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Knowledge Modeling and Semantic Retrieval for Sports Information Based on Ontology
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The Research on Moderating Effect of Relationship Benefits in Customer Service Recovery of Sports Medicine: Using Data Mining
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 187Knowledge Modeling and Semantic Retrieval for...

Knowledge Modeling and Semantic Retrieval for Sports Information Based on Ontology

Abstract:

Ontology, with the excellent concept hierarchy and appropriately supporting for logic reasoning, is the basis of knowledge modeling on the Semantic Web and the effective tool for semantic retrieval. This paper pays attention to the sports information management in WWW. Firstly, based on the domain ontology model, we build the sports ontology which has the character of wide-cover and small information granularity. Then this paper present the semantic retrieval system for sports information using SPARQL query language, which realizes the intelligent retrieval at semantic level according to the relations of “synonymy of”, “kind of” and “part of” between sports concepts. For the trend of exploding increase of sports information, this research has practical significance to some extent.

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Periodical:

Advanced Materials Research (Volume 187)

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45-50

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.187.45

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Online since:

February 2011

Authors:

Jun Zhai, Meng Li, Pan Sun

Keywords:

Knowledge Modeling, Ontology, Semantic Retrieval, SPARQL, Sports Information

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