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Historical Geo-Social Query Processing

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Web Technologies and Applications (APWeb 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9932))

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Abstract

Nowadays, more and more people would like to share their locations and check-in information through social networks – geo-social, which is also a hotspot in academic community. Previous works focus on query to geo-social network at current time, however, historical query is an important tool for analyzing and essential for system-centric purpose. This paper addresses two historical geo-social queries on group problem. One is for check-in historical query and the other is for life pattern query. We build sophisticated structures to index the data and propose algorithms to process queries. Experimental evaluation is carried out on real-synthetic hybrid dataset, and the results verify our approach is effective and efficient.

This work is supported by NSF of China grant 61303062 and 61302144.

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Author information

Authors and Affiliations

  1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, China

    Xiaoying Chen, Chong Zhang, Yanli Hu, Bin Ge & Weidong Xiao

  2. Collaborative Innovation Center of Geospatial Technology, Wuhan, China

    Xiaoying Chen, Chong Zhang, Yanli Hu, Bin Ge & Weidong Xiao

Authors
  1. Xiaoying Chen
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  2. Chong Zhang
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  3. Yanli Hu
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  4. Bin Ge
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  5. Weidong Xiao
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Corresponding author

Correspondence to Chong Zhang .

Editor information

Editors and Affiliations

  1. School of Computing, University of Utah, Salt Lake City, Utah, USA

    Feifei Li

  2. School of Electrical Engineering, Seoul National University, Seoul, Korea (Republic of)

    Kyuseok Shim

  3. Soochow University , Suzhou, China

    Kai Zheng

  4. Soochow University , Suzhou, China

    Guanfeng Liu

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© 2016 Springer International Publishing Switzerland

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Chen, X., Zhang, C., Hu, Y., Ge, B., Xiao, W. (2016). Historical Geo-Social Query Processing. In: Li, F., Shim, K., Zheng, K., Liu, G. (eds) Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9932. Springer, Cham. https://doi.org/10.1007/978-3-319-45817-5_48

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  • DOI: https://doi.org/10.1007/978-3-319-45817-5_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45816-8

  • Online ISBN: 978-3-319-45817-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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