Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23902
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorWu, D-
dc.creatorYiu, ML-
dc.creatorJensen, CS-
dc.creatorCong, G-
dc.date.accessioned2015-09-30T09:43:50Z-
dc.date.available2015-09-30T09:43:50Z-
dc.identifier.isbn978-1-4244-8959-6-
dc.identifier.isbn978-1-4244-8958-9 (E-ISBN)-
dc.identifier.issn1063-6382-
dc.identifier.urihttp://hdl.handle.net/10397/23902-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectInterneten_US
dc.subjectClient-server systemsen_US
dc.subjectQuery processingen_US
dc.titleEfficient continuously moving top-k spatial keyword query processingen_US
dc.typeConference Paperen_US
dc.identifier.spage541-
dc.identifier.epage552-
dc.identifier.doi10.1109/ICDE.2011.5767861-
dcterms.abstractWeb users and content are increasingly being geo-positioned. This development gives prominence to spatial keyword queries, which involve both the locations and textual descriptions of content. We study the efficient processing of continuously moving top-k spatial keyword (MkSK) queries over spatial keyword data. State-of-the-art solutions for moving queries employ safe zones that guarantee the validity of reported results as long as the user remains within a zone. However, existing safe zone methods focus solely on spatial locations and ignore text relevancy. We propose two algorithms for computing safe zones that guarantee correct results at any time and that aim to optimize the computation on the server as well as the communication between the server and the client. We exploit tight and conservative approximations of safe zones and aggressive computational space pruning. Empirical studies with real data suggest that our proposals are efficient.-
dcterms.bibliographicCitation2011 IEEE 27th International Conference on Data Engineering (ICDE), 11-16 April 2011, Hannover, p. 541-552-
dcterms.issued2011-
dc.relation.ispartofbook2011 IEEE 27th International Conference on Data Engineering (ICDE), 11-16 April 2011, Hannover-
dc.relation.conferenceIEEE International Conference on Data Engineering [ICDE]-
dc.identifier.rosgroupidr52235-
dc.description.ros2010-2011 > Academic research: refereed > Refereed conference paper-
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