XIOF: Finding XIO for Effective Keyword Search in XML Documents
XIOF: Finding XIO for Effective Keyword Search in XML Documents
复制标题
DOI：
10.1109/iwisa.2010.5473249
复制
发表时间：
2010-05
期刊：
影响因子：
--
通讯作者：
Xia Li;Zhanhuai Li;Peng Wang;Qun Chen
中科院分区：
文献类型：
--
作者：
Xia Li;Zhanhuai Li;Peng Wang;Qun Chen
关键字搜索在检索 XML 数据方面引起了广泛关注，因为它是一种用户友好的机制。但关键词搜索很难直接提高搜索质量，因为大量关键词匹配的节点可能对结果没有贡献。 XML包含丰富的语义信息，这些语义有助于信息检索过程。本文研究了如何利用XML语义来提高关键字搜索质量这一引人注目的问题。我们设计了一种称为 XIOF 的 XML 关键字搜索方法，它可以通过分析给定的关键字查询和 XML 数据源的模式来导出关键字查询并生成一组有效的结构化查询。此外，我们提供了一种算法来计算两个 XIO 之间的相似度得分。我们已经在真实数据集上实现了我们的方法，实验结果表明，与现有提案相比，XIOF 方法实现了高召回率和精确度。
Keyword search has attracted a great deal of attention for retrieving XML data because it is a user-friendly mechanism. But Keyword search is hard to directly improve search quality because lots of keyword-matched nodes may not contribute to the results. XML includes rich semantic informa-tionthese semantics are helpful to information retrieval process.This paper investigates the compelling problem of how to take advantage of XML semantics to improve keyword search quality. We design an XML keyword search approach, called XIOF, that can derive the keyword query and generate a set of effective structured queries by analyzing the given keyword query and the schemas of XML data sources. Furthermore, we provide an algorithm to computing the similarity score between two XIO. We have implemented our method on real datasets and the experimental results show that XIOF approach achieves both high recall and precise when compared with existing proposals.