Construction d’ontologies à partir de textes

  • Mondary T
  • 8

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

Build an ontology is a tedious task, which still requires a great amount of manual work. Texts, as knowledge sources, can help, but TALN tools stop at linguistic level. Manual conceptualization fill the gap between a linguistic model and a conceptual model. In this thesis we study how a symbolic clustering method, Formal Concept Analysis, can be combined with a linguistic model to help the knowledge engineer. We have experimented on three different domains represented by same-sized corpora. We show that ontology learning from texts cannot be fully automatized. We propose solutions that combine FCA and terminological analysis, to let the computer suggests useful clusters and faithful representation of texts.

Author-supplied keywords

  • conceptualization
  • formal concept analysis
  • ontology
  • terms

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

There are no full text links

Authors

  • Thibault Mondary

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free