Journal
INFORMATION SYSTEMS FRONTIERS
Volume 19, Issue 5, Pages 1029-1038Publisher
SPRINGER
DOI: 10.1007/s10796-016-9676-4
Keywords
Knowledge graph; Semantic relations; Web repository; Temporal and spatial mining
Funding
- National Science and Technology Major Project [2013ZX01033002-003]
- National Science Foundation of China [61300202]
- China Postdoctoral Science Foundation [2014 M560085]
- Science Foundation of Shanghai [13ZR1452900]
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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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