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Research on the Information Filtering of OWL Text Based on Semantic Analysis

机译:基于语义分析的OWL文本信息过滤研究

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摘要

In order to overcome the defects of traditional-method filtering which based on keywords, the OWL text filtering is presented in the Semantic Web environment, which makes information filtering, has been raised to the level of semantics. Through distinguishing the information between the title and text, and then calculating the semantic similarity of Semantic, using the integrated filtering methods, the effect of filtering would be more efficient and accurate.
机译:为了克服基于关键字的传统方法过滤的缺陷,在语义Web环境中提出了OWL文本过滤技术,使得信息过滤已经提高到语义层次。通过区分标题和文本之间的信息,然后计算语义的语义相似性,使用集成的过滤方法,过滤的效果将更加有效和准确。

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