Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-14246-8_13
Title: CW2I: Community data indexing for complex query processing
Authors: Hui, M.
Karras, P. 
Ooi, B.C. 
Issue Date: 2010
Source: Hui, M.,Karras, P.,Ooi, B.C. (2010). CW2I: Community data indexing for complex query processing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6184 LNCS : 103-114. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-14246-8_13
Abstract: The increasing popularity of Community Web Management Systems (CWMSs) calls for tailor-made data management approaches for them. Still, existing CWMSs have mostly focused on simple similarity-based queries; they do not provide a framework for the efficient processing of more complex queries over community web data. In this paper, we propose a two-way indexing scheme that facilitates efficient and scalable retrieval and complex query processing with community data. A thorough experimental comparison, based on real-world data and practical queries, illustrates the advantages of our scheme compared to other approaches for community web data management. Besides, our double-indexing scheme provides an attractive solution to the storage problem as well. © 2010 Springer-Verlag.
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/10635/41160
ISBN: 3642142451
ISSN: 03029743
DOI: 10.1007/978-3-642-14246-8_13
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