Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-00887-0_45
Title: MCN: A new semantics towards effective XML keyword search
Authors: Zhou, J.
Bao, Z.
Ling, T.W. 
Meng, X.
Issue Date: 2009
Source: Zhou, J.,Bao, Z.,Ling, T.W.,Meng, X. (2009). MCN: A new semantics towards effective XML keyword search. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5463 : 511-526. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-00887-0_45
Abstract: We investigate the expressiveness of existing XML keyword search semantics and propose Meaningful Connected Network (MCN) as a new semantics to capture meaningful relationships of the given keywords from XML documents. Our evaluation method adopts a two-step strategy to compute all MCNs. In the first step, we identify a set of query patterns from a new schema summary; in the second step, all query patterns are processed based on two efficient indices, partial path index and entity path index. The experimental results show that our method is both effective and efficient.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40956
ISBN: 9783642008863
ISSN: 03029743
DOI: 10.1007/978-3-642-00887-0_45
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