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Identifying Meaningful Return Information for XML Keyword Search

机译:识别XML关键字搜索的有意义的回报信息

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Keyword search enables web users to easily access XML data without the need to learn a structured query language and to study possibly complex data schemas. Existing work has addressed the problem of selecting quali ed data nodes that match keywords and connecting them in a meaningful way, in the spirit of inferring a where clause in Xquery. However, how to infer the return clause for keyword search is an open problem. To address this challenge, we present an XML keyword search engine, Xseek, to infer the semantics of the search and identify return nodes effectively. Xseek recognizes possible entities and attributes inherently represented in the data. It also distinguishes between search predicates and return speci cations in the keywords. Then based on the analysis of both XML data structures and keyword match patterns, Xseek generates return nodes. Extensive experimental studies show the effectiveness of Xseek.
机译:关键字搜索使网络用户能够轻松访问XML数据,而无需了解结构化查询语言并研究可能的复杂数据模式。现有工作已经解决了选择符合关键字的质量数据节点并以有意义的方式将其连接到XQuery的Where子句的精神的问题。但是,如何推断关键字搜索的返回子句是一个打开问题。为了解决这一挑战,我们介绍了一个XML关键字搜索引擎Xseek,以推断搜索的语义,有效地识别返回节点。 Xseek识别在数据中固有地表示的可能实体和属性。它还区分搜索谓词并在关键字中返回特定阳离子。然后基于对XML数据结构和关键字匹配模式的分析,Xseek生成返回节点。广泛的实验研究表明了Xseek的有效性。

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