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CLC number: TP311.13

On-line Access: 2008-05-09

Received: 2007-10-16

Revision Accepted: 2008-01-28

Crosschecked: 0000-00-00

Cited: 3

Clicked: 3244

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.6 P.744~757

http://doi.org/10.1631/jzus.A071551


Bottom-up mining of XML query patterns to improve XML querying


Author(s):  Yi-jun BEI, Gang CHEN, Jin-xiang DONG, Ke CHEN

Affiliation(s):  School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   alphabyj@yahoo.com.cn

Key Words:  XML querying, XML mining, Caching, Data mining


Yi-jun BEI, Gang CHEN, Jin-xiang DONG, Ke CHEN. Bottom-up mining of XML query patterns to improve XML querying[J]. Journal of Zhejiang University Science A, 2008, 9(6): 744~757.

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Abstract: 
Querying XML data is a computationally expensive process due to the complex nature of both the XML data and the XML queries. In this paper we propose an approach to expedite XML query processing by caching the results of frequent queries. We discover frequent query patterns from user-issued queries using an efficient bottom-up mining approach called VBUXMiner. VBUXMiner consists of two main steps. First, all queries are merged into a summary structure named “compressed global tree guide” (CGTG). Second, a bottom-up traversal scheme based on the CGTG is employed to generate frequent query patterns. We use the frequent query patterns in a cache mechanism to improve the XML query performance. Experimental results show that our proposed mining approach outperforms the previous mining algorithms for XML queries, such as XQPMinerTID and FastXMiner, and that by caching the results of frequent query patterns, XML query performance can be dramatically improved.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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