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On Efficient Spatial Keyword Querying with Semantics

  • Zhihu Qian
  • Jiajie Xu
  • Kai Zheng
  • Wei Sun
  • Zhixu Li
  • Haoming Guo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9643)

Abstract

The fast development of GPS equipped devices has aroused widespread use of spatial keyword querying in location based services nowadays. Existing spatial keyword indexing and querying methodologies mainly focus on the spatial and textual similarities, while leaving the semantic understanding of keywords in spatial web objects and queries to be ignored. To address this issue, this paper studies the problem of semantic based spatial keyword querying. It seeks to return the k objects most similar to the query, subject to not only their spatial and textual properties, but also the coherence of their semantic meanings. To achieve that, we propose a novel indexing structure called NIQ-tree, which integrates spatial, textual and semantic information in a hierarchical manner, so as to prune the search space effectively in query processing. Extensive experiments are carried out to evaluate and compare it with other two baseline algorithms.

Keywords

Spatial keyword query Query optimization Probabilistic topic model Semantic similarity 

Notes

Acknowledgement

This work was partially supported by Chinese NSFC project under grant numbers 61402312, 61402313, 61572335, 61232006, the Key Research Program of the Chinese Academy of Sciences under grant number KGZD-EW-102-3-3, and Collaborative Innovation Center of Novel Software Technology and Industrialization.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Zhihu Qian
    • 1
  • Jiajie Xu
    • 1
    • 2
  • Kai Zheng
    • 1
    • 2
  • Wei Sun
    • 1
  • Zhixu Li
    • 1
    • 2
  • Haoming Guo
    • 3
  1. 1.School of Computer Science and TechnologySoochow UniversitySuzhouChina
  2. 2.School of ITEEThe University of QueenslandBrisbaneAustralia
  3. 3.Institute of SoftwareChinese Academy of SciencesBeijingChina

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