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Text and Web Mining Approaches in Order to Build Specialized Ontologies

Mathieu Roche 1 Yves Kodratoff 2 
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents a text-mining approach in order to extract candidate terms from a corpus. The relevant candidates are selected using a web-mining approach. The terms (i.e. relevant candidate terms) we find are the instances of specialized ontologies built during this process. The experiments are based on real data – Human Resources corpus – and they show the quality of our text and web mining approaches.
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Submitted on : Thursday, October 15, 2009 - 11:49:52 PM
Last modification on : Friday, August 5, 2022 - 3:03:22 PM
Long-term archiving on: : Tuesday, October 16, 2012 - 12:25:36 PM


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  • HAL Id : lirmm-00424463, version 1


Mathieu Roche, Yves Kodratoff. Text and Web Mining Approaches in Order to Build Specialized Ontologies. Journal of Digital Information, Texas Digital Library, 2009, 10 (4), pp.6. ⟨lirmm-00424463⟩



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