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Best-match querying from document-centric XML

机译:以文档为中心的XML的最佳匹配查询

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摘要

On the Web, there is a pervasive use of XML to give lightweight semantics to textual collections. Such document-centric XML collections require a query language that can gracefully handle structural constraints as well as constraints on the free text of the documents. Our main contributions are three-fold. First, we outline two fragments of XPath tailored to users that have varying degrees of understanding of the XML structure used, and give both syntactic and semantic characterizations of these fragments. Second, we extend XPath with an about function having a best-match semantics based on the relevance of the document component for the expressed information need. Third, we evaluate the resulting query language using the INEX 2003 test suite, and show that best-match approaches outperform exact-match approaches for evaluating content-and-structure queries.
机译:在Web上,普遍使用XML为文本集合提供轻量级语义。这样的以文档为中心的XML集合需要一种查询语言,该查询语言可以优雅地处理结构约束以及对文档自由文本的约束。我们的主要贡献是三方面。首先,我们概述了针对用户量身定制的XPath的两个片段,它们对所使用的XML结构有不同程度的理解,并给出了这些片段的语法和语义特征。其次,基于文档组件与所表达的信息需求的相关性,我们使用具有最佳匹配语义的about函数扩展XPath。第三,我们使用INEX 2003测试套件评估了结果查询语言,并表明最佳匹配方法在评估内容和结构查询方面优于精确匹配方法。

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