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Building spatial temporal relation graph of concepts pair using web repository

Author

Listed:
  • Zheng Xu

    (The Third Research Institute of Ministry of Public Security
    Tsinghua University)

  • Junyu Xuan

    (Shanghai University)

  • Yunhuai Liu

    (The Third Research Institute of Ministry of Public Security)

  • Kim-Kwang Raymond Choo

    (University of Texas at San Antonio
    University of South Australia
    China University of Geosciences)

  • Lin Mei

    (The Third Research Institute of Ministry of Public Security)

  • Chuanping Hu

    (The Third Research Institute of Ministry of Public Security)

Abstract

Mining semantic relations between concepts underlies many fundamental tasks including natural language processing, web mining, information retrieval, and web search. In order to describe the semantic relation between concepts, in this paper, the problem of automatically generating spatial temporal relation graph (STRG) of semantic relation between concepts is studied. The spatial temporal relation graph of semantic relation between concepts includes relation words, relation sentences, relation factor, relation graph, faceted feature, temporal feature, and spatial feature. The proposed method can automatically generate the spatial temporal relation graph (STRG) of semantic relation between concepts, which is different from the manually generated annotation repository such as WordNet and Wikipedia. Moreover, the proposed method does not need any prior knowledge such as ontology or the hierarchical knowledge base such as WordNet. Empirical experiments on real dataset show that the proposed algorithm is effective and accurate.

Suggested Citation

  • Zheng Xu & Junyu Xuan & Yunhuai Liu & Kim-Kwang Raymond Choo & Lin Mei & Chuanping Hu, 2017. "Building spatial temporal relation graph of concepts pair using web repository," Information Systems Frontiers, Springer, vol. 19(5), pages 1029-1038, October.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:5:d:10.1007_s10796-016-9676-4
    DOI: 10.1007/s10796-016-9676-4
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    Cited by:

    1. Vijayan Sugumaran & T. V. Geetha & D. Manjula & Hema Gopal, 2017. "Guest Editorial: Computational Intelligence and Applications," Information Systems Frontiers, Springer, vol. 19(5), pages 969-974, October.

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