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S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search

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Abstract

Semantic-aware spatial keyword search is an important technique for digital map services. However, existing indexing and search methods have limited pruning effect due to the high dimensionality in semantic space, causing query efficiency to be a serious issue. To handle this problem, this paper proposes a novel pivot-based hierarchical indexing structure S2R-tree to integrate spatial and semantic information in a seamless way. Instead of indexing objects in the original semantic space, we carefully design a space mechanism to transform the high dimensional semantic vectors to a low dimensional space, so that more effective pruning effect can be achieved. On top of the S2R-tree, an efficient query processing algorithm is further designed, which not only ensures efficient query processing by a set of theoretical bounds, but also returns accurate results despite of the indexing in the low dimensional space. Furthermore, we conduct extensive experiments to evaluate and compare our proposed and baseline methods.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant Nos. 61872258, 61572335, 61772356, 61876117, and 61802273, the Dongguan Innovative Research Team Program under grant number 2018607201008, the Australian Research Council discovery projects under grant numbers DP160102412, DP170104747, DP180100212, and the Open Program of State Key Laboratory of Software Architecture under item number SKLSAOP1801.

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Authors and Affiliations

  1. Institute of Artificial Intelligence, School of Computer Science and Technology, Soochow University, Suzhou, China

    Xinyu Chen, Jiajie Xu, Pengpeng Zhao, Junhua Fang & Lei Zhao

  2. Neusoft Corporation, Shenyang, China

    Xinyu Chen & Pengpeng Zhao

  3. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China

    Jiajie Xu

  4. Faculty of SET, Swinburne University of Technology, Melbourne, Australia

    Rui Zhou & Chengfei Liu

  5. University of Electronic Science and Technology of China, Chengdu, China

    Junhua Fang

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  1. Xinyu Chen
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Correspondence to Jiajie Xu, Rui Zhou or Pengpeng Zhao.

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Chen, X., Xu, J., Zhou, R. et al. S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search. Geoinformatica 24, 3–25 (2020). https://doi.org/10.1007/s10707-019-00372-z

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