Paper Title:
Semantic Search for XML Documents
  Abstract

With the continuous growth in the XML data, the ability to search in massive collections of XML data becomes important. In this paper, we present efficient techniques that are able to employ bloom-filtering to decrease computation complexity that is used to filter irrelevant XML paths. After filtering, a kind of semantic measure is used to compute similarity between the query and the relevant XML documents, which is used to rank retrieval results. Experiment results show that the retrieval prototype system based on bloom-filtering runs faster than ever under the almost same average precise.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
1028-1031
DOI
10.4028/www.scientific.net/AMM.48-49.1028
Citation
L. Song, Q. G. Lv, X. B. Tang, "Semantic Search for XML Documents", Applied Mechanics and Materials, Vols. 48-49, pp. 1028-1031, 2011
Online since
February 2011
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Price
$32.00
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