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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.6 No.2
- 발행연도
- 2012.6
- 수록면
- 127 - 140 (14page)
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초록· 키워드
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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 d ≤ m, 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.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. BACKGROUND AND RELATED WORK
Ⅲ. RESULT ENUMERATION
Ⅳ. EXPERIMENTAL EVALUATION
Ⅴ. CONCLUSIONS
ACKNOWLEDGMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-569-002680314