Building spatial temporal relation graph of concepts pair using web repository

Zheng Xu (), Junyu Xuan, Yunhuai Liu, Kim-Kwang Raymond Choo, Lin Mei and Chuanping Hu
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Zheng Xu: The Third Research Institute of Ministry of Public Security
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
Lin Mei: The Third Research Institute of Ministry of Public Security
Chuanping Hu: The Third Research Institute of Ministry of Public Security

Information Systems Frontiers, 2017, vol. 19, issue 5, No 5, 1029-1038

Abstract: 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.

Keywords: Knowledge graph; Semantic relations; Web repository; Temporal and spatial mining (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10796-016-9676-4

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