Research on Text Mining Based on Domain Ontology

Abstract : This paper improves the traditional text mining technology which cannot understand the text semantics. The author discusses the text mining methods based on ontology and puts forward text mining model based on domain ontology. Ontology structure is built firstly and the “concept-concept” similarity matrix is introduced, then a conception vector space model based on domain ontology is used to take the place of traditional vector space model to represent the documents in order to realize text mining. Finally, the author does a case and draws some conclusions.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.361-369, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_38〉
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Jiang Li-Hua, Xie Neng-Fu, Zhang Hong-Bin. Research on Text Mining Based on Domain Ontology. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.361-369, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_38〉. 〈hal-01220847〉

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