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.
https://hal.inria.fr/hal-01220847 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, October 27, 2015 - 8:29:03 AM Last modification on : Wednesday, July 21, 2021 - 10:28:03 AM Long-term archiving on: : Thursday, January 28, 2016 - 10:22:00 AM
Jiang Li-Hua, Xie Neng-Fu, Zhang Hong-Bin. Research on Text Mining Based on Domain Ontology. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.361-369, ⟨10.1007/978-3-642-54341-8_38⟩. ⟨hal-01220847⟩