| XKMis: effective and efficient keyword search in XML databases |
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ACM International Conference Proceeding Series
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Proceedings of the 2009 International Database Engineering & Applications Symposium
table of contents
Cetraro - Calabria, Italy
SESSION: Full papers
table of contents
Pages 121-130
Year of Publication: 2009
ISBN:978-1-60558-402-7
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Authors
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Jiang Li
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Griffith University, Gold Coast, Australia
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Junhu Wang
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Griffith University, Gold Coast, Australia
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Maolin Huang
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The University of Technology, Sydney, Australia
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Downloads (6 Weeks): 8, Downloads (12 Months): 8, Citation Count: 0
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ABSTRACT
We present XKMis, a system for keyword search in XML documents. Unlike previous work, our method is not based on the lowest common ancestor (LCA) or its variant, rather we divide the nodes into meaningful and self-containing information segments, called minimal information segments (MISs), and return MIS-subtrees which consist of MISs that are logically connected by the keywords. The MIS-subtrees are closer to what the user wants. The MIS-subtrees enable us to use the region code of XML trees to develop an algorithm for the search which is more efficient especially for large XML trees. We report our experiment results, which verify the better effectiveness and efficiency of our system.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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