Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download
Contributor : Hal Ifip Connect 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


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



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⟩



Record views


Files downloads