Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98753
Title: SWORS : a system for the efficient retrieval of relevant spatial web objects
Authors: Cao, Xin
Cong, Gao
Ng, Jun Jie
Ooi, Beng Chin
Phan, Nhan-Tue
Wu, Dingming
Jensen, Christian S.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Cao, X., Cong, G., Jensen, C. S., Ng, J. J., Ooi, B, C., Phan, N. T., et al. (2012). SWORS : a system for the efficient retrieval of relevant spatial web objects. Proceedings of the VLDB Endowment.
Abstract: Spatial web objects that possess both a geographical location and a textual description are gaining in prevalence. This gives prominence to spatial keyword queries that exploit both location and textual arguments. Such queries are used in many web services such as yellow pages and maps services. We present SWORS, the Spatial Web Object Retrieval System, that is capable of efficiently retrieving spatial web objects that satisfy spatial keyword queries. Specifically, SWORS supports two types of queries: a) the location-aware top-k text retrieval (LkT) query that retrieves k individual spatial web objects taking into account query location proximity and text relevancy; b) the spatial keyword group (SKG) query that retrieves a group of objects that cover the query keywords and are nearest to the query location and have the shortest inter-object distances. SWORS provides browser-based interfaces for desktop and laptop computers and provides a client application for mobile devices. The interfaces and the client enable users to formulate queries and view the query results on a map. The server side stores the data and processes the queries. We use three real-life data sets to demonstrate the functionality and performance of SWORS.
URI: https://hdl.handle.net/10356/98753
http://hdl.handle.net/10220/13436
Rights: © 2012 VLDB Endowment
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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