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Keyword proximity search in XML trees

机译:XML树中的关键字邻近搜索

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摘要

Recent works have shown the benefits of keyword proximity search in querying XML documents in addition to text documents. For example, given query keywords over Shakespeare's plays in XML, the user might be interested in knowing how the keywords cooccur. In this paper, we focus on XML trees and define XML keyword, proximity queries to return the (possibly heterogeneous) set of minimum connecting trees (MCTs) of the matches to the individual keywords in the query. We consider efficiently executing keyword proximity queries on labeled trees (XML) in various settings: 1) when the XML database has been preprocessed and 2) when no indices are available on the XML database. We perform a detailed experimental evaluation to study the benefits of our approach and show that our algorithms considerably outperform prior algorithms and other applicable approaches.
机译:最近的工作表明,除了文本文档之外,关键字邻近搜索在查询XML文档中的好处。例如,给定关于莎士比亚戏剧的XML的查询关键字,用户可能会对知道关键字如何共存感兴趣。在本文中,我们专注于XML树并定义XML关键字,邻近查询,以将匹配项的(可能是异构的)最小匹配树(MCT)集返回到查询中的各个关键字。我们考虑在各种设置下对标记树(XML)高效地执行关键字邻近查询:1)对XML数据库进行预处理后,以及2)当XML数据库上没有可用索引时。我们进行了详细的实验评估,以研究该方法的优势,并表明我们的算法大大优于以前的算法和其他适用方法。

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