Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99256
Title: Joint top-K spatial keyword query processing
Authors: Yiu, Man Lung
Jensen, Christian S.
Wu, Dingming
Cong, Gao
Issue Date: 2012
Source: Wu, D., Yiu, M. L., Cong, G., & Jensen, C. S. (2012). Joint top-K spatial keyword query processing. IEEE transactions on knowledge and data engineering, 24(10), 1889-1903.
Series/Report no.: IEEE transactions on knowledge and data engineering
Abstract: Web users and content are increasingly being geopositioned, and increased focus is being given to serving local content in response to web queries. This development calls for spatial keyword queries that take into account both the locations and textual descriptions of content. We study the efficient, joint processing of multiple top-k spatial keyword queries. Such joint processing is attractive during high query loads and also occurs when multiple queries are used to obfuscate a user's true query. We propose a novel algorithm and index structure for the joint processing of top-k spatial keyword queries. Empirical studies show that the proposed solution is efficient on real data sets. We also offer analytical studies on synthetic data sets to demonstrate the efficiency of the proposed solution.
URI: https://hdl.handle.net/10356/99256
http://hdl.handle.net/10220/13529
ISSN: 1041-4347
DOI: 10.1109/TKDE.2011.172
Rights: © 2012 IEEE
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.