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.
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〉
https://hal.inria.fr/hal-01220847
Contributeur : Hal Ifip
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Soumis le : mardi 27 octobre 2015 - 08:29:03
Dernière modification le : lundi 12 novembre 2018 - 10:24:07
Document(s) archivé(s) le : jeudi 28 janvier 2016 - 10:22:00
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〉
