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Home > Archive>Volume 31, Issue 10, 2020 >3197-3215. DOI:10.13328/j.cnki.jos.005810
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Efficient Algorithm of Top-k Spatial Keyword Search with OR Semantics
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National Natural Science Foundation of China (61472340, 61303017); Natural Science Foundation of Hebei Province of China (F2018210109); Department of Education Key Project of Hebei Province (ZD2018040); Foundation of Introducing Overseas Student (C201822); Basic Research Team Project of Hebei Province (2019JT70803); The 4th Outstanding Youth Foundation of Shijiazhuang Tiedao University (Z661250444); College Innovative Training Program Foundation of China (201710107006, 201710107007)

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    Abstract:

    In recent years, with the popularization of positioning system and mobile devices, the numbers of spatial-textual objects increase extraordinarily. Location-based services using geographical information play a critical role in daily lives. Spatial keyword search has attracted more attention from academia and industry. However, many of the existing techniques can only be appliable on AND semantics. There is relatively less research supporting OR semantics. When the users do not require the exact keyword matching, the search technology that supports OR semantic is particularly important. To solve this problem, this study proposes a virtual grid-based query algorithm VGrid. VGrid is an aggregate linear quadtree (AIL) based algorithm, utilizing the easy transformation between the Morton codes and the spatial locations in the space. The algorithm can support both OR and AND semantics. Finally, a series of experiments is conducted on a real dataset, and the effectiveness and efficiency of the proposed algorithm are verified.

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潘晓,于启迪,马昂,孙亚欣,吴雷,郭景峰.支持OR语义的高效受限Top-k空间关键字查询技术.软件学报,2020,31(10):3197-3215

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History
  • Received:March 21,2018
  • Revised:September 27,2018
  • Online: October 12,2020
  • Published: October 06,2020
Links:Institute of Software, CASChina Computer FederationCASNSFC
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