Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97020
Title: A framework for efficient spatial web object retrieval
Authors: Jensen, Christian S.
Wu, Dingming
Cong, Gao
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Wu, D., Cong, G., & Jensen, C. S. (2012). A framework for efficient spatial web object retrieval. The VLDB Journal, 21(6), 797-822.
Series/Report no.: The VLDB journal
Abstract: The conventional Internet is acquiring a geospatial dimension. Web documents are being geo-tagged and geo-referenced objects such as points of interest are being associated with descriptive text documents. The resulting fusion of geo-location and documents enables new kinds of queries that take into account both location proximity and text relevancy. This paper proposes a new indexing framework for top-k spatial text retrieval. The framework leverages the inverted file for text retrieval and the R-tree for spatial proximity querying. Several indexing approaches are explored within this framework. The framework encompasses algorithms that utilize the proposed indexes for computing location-aware as well as region-aware top-k text retrieval queries, thus taking into account both text relevancy and spatial proximity to prune the search space. Results of empirical studies with an implementation of the framework demonstrate that the paper’s proposal is capable of excellent performance.
URI: https://hdl.handle.net/10356/97020
http://hdl.handle.net/10220/11739
ISSN: 1066-8888
DOI: http://dx.doi.org/10.1007/s00778-012-0271-0
Rights: © 2012 Springer-Verlag.
metadata.item.grantfulltext: none
metadata.item.fulltext: No Fulltext
Appears in Collections:SCSE Journal Articles

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