Semantic Search for XML Documents

Abstract:

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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 et al., "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:

$35.00

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