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基于语义索引词的语义网信息检索模型
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作者 虞为 曹加恒 +2 位作者 曾承 黄敏 陈俊鹏 《计算机工程》 CAS CSCD 北大核心 2007年第3期210-212,共3页
提出了一个基于语义索引词的语义网信息检索模型(Semantic Information Retrieval,SIR),解决了在传统的基于关键字的信息检索中只能从句法上对关键字进行分析,无法根据信息资源中的语义关系进行检索的问题。
关键词 语义 语义索引词 信息检索模型
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Novel method for searching ontologies on semantic web 被引量:2
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作者 虞为 曹加恒 陈俊鹏 《Journal of Southeast University(English Edition)》 EI CAS 2006年第3期334-337,共4页
In order to solve the problem of information retrieval on the semantic web, a new semantic information retrieval (SIR) model for searching ontologies on the semantic web is proposed. First, SIR transformed domain on... In order to solve the problem of information retrieval on the semantic web, a new semantic information retrieval (SIR) model for searching ontologies on the semantic web is proposed. First, SIR transformed domain ontologies into global ontologies. Then semantic index terms were extracted from these global ontologies. Based on semantic index terms, logical inferences can be performed and the logical views of the concept can be obtained. These logical views represent the expanded meaning of the concept. Using logical views, SIR can perform the information retrieval and inferences based on the semantic relationships in the documents, not only on the syntactic analysis of the documents. SIR can significantly enhance the recall and precision of the information retrieval by the semantic inference. Finally, the practicability of the SIR model is analyzed. 展开更多
关键词 semantic index term semantic web ONTOLOGY
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