Improving Search Quality of an XML Context-Driven Search Engine by Relabling of Canonical Trees

S. Bhagate
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Abstract

XCD Search-An XML Context-driven Search Engine answers both Keyword-based and Context-driven queries using stack-based sort merge algorithm. It performs well with all criteria of queries against XML trees, except queries submitted against a document, whose XML tree contains a parent node and child interior node, both having same Taxonomic Label and both have child/children data node(s) and/or attribute(s). In this paper we propose An Improved XML Context-driven Search Engine. It uses all the techniques used in XCD Search, in addition to new techniques that handle the type of XML trees mentioned above, which XCD Search does not handle well. We evaluated this system experimentally and compared with original version of XCD Search. The results showed remarkable improvement.
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通过重新标记规范树来提高XML上下文驱动搜索引擎的搜索质量
XCD搜索——XML上下文驱动的搜索引擎使用基于堆栈的排序合并算法回答基于关键字和上下文驱动的查询。它在针对XML树的所有查询条件下都表现良好,但针对文档提交的查询除外,文档的XML树包含父节点和子内部节点,它们都具有相同的Taxonomic Label,并且都具有子/子数据节点和/或属性。本文提出了一种改进的XML上下文驱动搜索引擎。它使用了XCD Search中使用的所有技术,以及处理上面提到的XML树类型的新技术,而XCD Search不能很好地处理这些类型。我们对该系统进行了实验评估,并与原始版本的XCD搜索进行了比较。结果显示出显著的改善。
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