Building spatial temporal relation graph of concepts pair using web repository |
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| Authors: | Email author" target="_blank">Zheng?XuEmail author Junyu?Xuan Yunhuai?Liu Kim-Kwang?Raymond?Choo Lin?Mei Chuanping?Hu |
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| Affiliation: | 1.The Third Research Institute of Ministry of Public Security,Shanghai,China;2.Tsinghua University,Beijing,China;3.Shanghai University,Shanghai,China;4.Department of Information Systems and Cyber Security,University of Texas at San Antonio,San Antonio,USA;5.School of Information Technology and Mathematical Sciences,University of South Australia,Adelaide,Australia;6.School of Computer Science,China University of Geosciences,Wuhan,China |
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| 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. |
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