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文章基本信息

  • 标题:A Parallel Processing Method for Moving Top-K Spatial Keyword Query
  • 本地全文:下载
  • 作者:Kunlun Chen ; Yanru Liu ; Qingxu Deng
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2019
  • 卷号:12
  • 期号:4
  • 页码:72-84
  • DOI:10.4236/jsea.2019.124006
  • 出版社:Scientific Research Publishing
  • 摘要:We propose an influential set based moving k keyword query processing model, which avoids the shortcoming of safe region-based approaches that the update cost and update frequency cannot be optimized simultaneously. Based on the model, we design a parallel query processing method and a parallel validation method for multicore processing platforms. The time complexity of the algorithms is O((log D +p.k)/p.k) and O(log p.k), respectively, which are all O(1/k) times the time complexity of the state-of-the-art method. The experiment result confirms the superiority of our algorithms over the state-of-the-art method.
  • 关键词:Spatial Keywords;KNearest Neighbors;Influential Set;Spatial Moving Query;Safe Region
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