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Processing XML Queries with Structural and Full-Text Constraints

机译:处理具有结构和全文约束的XML查询

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Efficient query processing on XML data is an important task for querying the data web. In this paper, we consider the XML query which can be represented as a query tree with twig patterns, and also consists of complex full-text constraints. Two approaches are proposed. The structure-first approach will first identify the elements which satisfy the tag constraint, and then process the full-text constraint on the terms represented within each element. The satisfied elements will be combined to meet the complete twig constraints. On the other hand, the keyword-first approach will first identify the elements which represent the required keywords, and then return the elements which satisfy the given full-text predicates and structural constraints. We demonstrate, via an extensive experimental study, that the two approaches have their own merits.
机译:对XML数据进行有效的查询处理是查询数据Web的重要任务。在本文中,我们考虑了XML查询,它可以表示为带有树枝模式的查询树,并且也由复杂的全文约束组成。提出了两种方法。结构优先的方法将首先识别满足标签约束的元素,然后对每个元素内表示的术语进行全文约束。满足条件的元素将被组合以满足完整的树枝约束。另一方面,关键字优先方法将首先识别表示所需关键字的元素,然后返回满足给定全文谓词和结构约束的元素。通过广泛的实验研究,我们证明了这两种方法各有千秋。

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