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Fast result enumeration for keyword queries on XML data


Zhou, J and Chen, Z and Tang, X and Bao, Z and Ling, TW, Fast result enumeration for keyword queries on XML data, Journal of Computing Science and Engineering, 6, (2) pp. 127-140. ISSN 1976-4677 (2012) [Refereed Article]


Copyright Statement

Licensed under Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)

DOI: doi:10.5626/JCSE.2012.6.2.127


In this paper, we focus on efficient construction of tightest matched subtree (TMSubtree) results, for keyword queries on extensible markup language (XML) data, based on smallest lowest common ancestor (SLCA) semantics. Here, "matched" means that all nodes in a returned subtree satisfy the constraint that the set of distinct keywords of the subtree rooted at each node is not subsumed by that of any of its sibling nodes, while "tightest" means that no two subtrees rooted at two sibling nodes can contain the same set of keywords. Assume that d is the depth of a given TMSubtree, m is the number of keywords of a given query Q. We proved that if dm, a matched subtree result has at most 2m! nodes; otherwise, the size of a matched subtree result is bounded by (d m + 2)m!. Based on this theoretical result, we propose a pipelined algorithm to construct TMSubtree results without rescanning all node labels. Experiments verify the benefits of our algorithm in aiding keyword search over XML data.

Item Details

Item Type:Refereed Article
Keywords:information retrieval, result ranking, keyword search, result enumeration
Research Division:Information and Computing Sciences
Research Group:Data management and data science
Research Field:Data management and data science not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information services
Objective Field:Electronic information storage and retrieval services
UTAS Author:Bao, Z (Dr Zhifeng Bao)
ID Code:92172
Year Published:2012
Deposited By:Information and Communication Technology
Deposited On:2014-06-09
Last Modified:2015-03-25
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