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An Approach to Semantic Information Retrieval Based on Natural Language Query Understanding

机译:基于自然语言查询理解的语义信息检索方法

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In this paper we present an approach to semantic based Information Retrieval of semantically annotated documents, based on natural language understanding of the query, on its semantic representation through an OWL query ontology, and on exact and approximate retrieval of semantically annotated documents, through SPARQL inference and structural graph matching.
机译:在本文中,我们介绍了一种基于对查询的自然语言理解的语义语言理解的语义信息检索方法,通过猫头鹰查询本体,以及通过SPARQL推断来精确和近似检索语义附加文档的精确和近似检索和结构图匹配。

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