Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-12026-8_10
Title: An effective object-level XML keyword search
Authors: Bao, Z.
Lu, J.
Ling, T.W. 
Xu, L.
Wu, H.
Issue Date: 2010
Source: Bao, Z.,Lu, J.,Ling, T.W.,Xu, L.,Wu, H. (2010). An effective object-level XML keyword search. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5981 LNCS (PART 1) : 93-109. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-12026-8_10
Abstract: Keyword search is widely recognized as a convenient way to retrieve information from XML data. In order to precisely meet users' search concerns, we study how to effectively return the targets that users intend to search for. We model XML document as a set of interconnected object-trees, where each object contains a subtree to represent a concept in the real world. Based on this model, we propose object-level matching semantics called Interested Single Object (ISO) and Interested Rel ated Object (IRO) to capture single object and multiple objects as user's search targets respectively, and design a novel relevance oriented ranking framework for the matching results. We propose efficient algorithms to compute and rank the query results in one phase. Finally, comprehensive experiments show the efficiency and effectiveness of our approach, and an online demo of our system on DBLP data is available at http://xmldb.ddns.comp.nus.edu.sg. © Springer-Verlag Berlin Heidelberg 2010.
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/10635/40481
ISBN: 3642120253
ISSN: 03029743
DOI: 10.1007/978-3-642-12026-8_10
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