World Wide Web

, Volume 21, Issue 3, pp 573–594 | Cite as

Semantic-aware top-k spatial keyword queries

  • Zhihu Qian
  • Jiajie Xu
  • Kai Zheng
  • Pengpeng Zhao
  • Xiaofang Zhou
Article
  • 187 Downloads

Abstract

The fast development of GPS equipped devices has aroused widespread use of spatial keyword querying in location based services nowadays. Existing spatial keyword query 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 novel indexing structures, which integrate 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 them with other baseline algorithms.

Keywords

Spatial keyword query Query optimization Probabilistic topic model Semantic similarity 

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Zhihu Qian
    • 1
  • Jiajie Xu
    • 1
  • Kai Zheng
    • 1
  • Pengpeng Zhao
    • 1
  • Xiaofang Zhou
    • 2
    • 1
  1. 1.School of Computer Science and TechnologySoochow UniversitySuzhouChina
  2. 2.School of Information Technology and Electrical EngineeringUniversity of QueenslandSt. LuciaAustralia

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