A framework for efficient spatial web object retrieval

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...

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Main Authors: Jensen, Christian S., Wu, Dingming, Cong, Gao
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/97020
http://hdl.handle.net/10220/11739
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-970202020-05-28T07:17:45Z A framework for efficient spatial web object retrieval Jensen, Christian S. Wu, Dingming Cong, Gao School of Computer Engineering DRNTU::Engineering::Computer science and engineering 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. 2013-07-17T06:36:15Z 2019-12-06T19:37:57Z 2013-07-17T06:36:15Z 2019-12-06T19:37:57Z 2012 2012 Journal Article Wu, D., Cong, G., & Jensen, C. S. (2012). A framework for efficient spatial web object retrieval. The VLDB Journal, 21(6), 797-822. 1066-8888 https://hdl.handle.net/10356/97020 http://hdl.handle.net/10220/11739 10.1007/s00778-012-0271-0 en The VLDB journal © 2012 Springer-Verlag.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Jensen, Christian S.
Wu, Dingming
Cong, Gao
A framework for efficient spatial web object retrieval
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Jensen, Christian S.
Wu, Dingming
Cong, Gao
format Article
author Jensen, Christian S.
Wu, Dingming
Cong, Gao
author_sort Jensen, Christian S.
title A framework for efficient spatial web object retrieval
title_short A framework for efficient spatial web object retrieval
title_full A framework for efficient spatial web object retrieval
title_fullStr A framework for efficient spatial web object retrieval
title_full_unstemmed A framework for efficient spatial web object retrieval
title_sort framework for efficient spatial web object retrieval
publishDate 2013
url https://hdl.handle.net/10356/97020
http://hdl.handle.net/10220/11739
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