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Semantic Retrieval for Sports Information Based on Ontology and SPARQL

机译:基于本体和SPARQL的体育信息语义检索

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Semantic retrieval becomes the hot topic in information retrieval on the Semantic Web. Ontology, with the excellent concept hierarchy and appropriately supporting for logic reasoning, is the effective tool for semantic retrieval. This paper pays attention to the semantic retrieval for sports information 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 we present the semantic retrieval system of 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.
机译:语义检索成为语义Web上信息检索中的热门话题。本体论,具有优秀的概念层次结构和适当支持逻辑推理,是语义检索的有效工具。本文注重WWW中的体育信息语义检索。首先,基于域本体模型,我们构建体育本体,具有宽覆盖和小信息粒度的特征。然后我们使用SPARQL查询语言介绍了体育信息的语义检索系统,这在体育概念之间的“同义词”和“部分”的关系中,实现了语义水平的智能检索。为了爆炸体育信息的增加趋势,这项研究在一定程度上具有实际意义。

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