Effective Ontology Learning : Concepts' Hierarchy Building using Plain Text Wikipedia.
Khalida Bensidi Ahmed, Adil Toumouh · 2012
Ontologies stand in the heart of the Semantic Web. Nevertheless, heavyweight or formal ontologies’ engineering is being commonly judged to be a tough exercise which requires time and heavy costs. Ontology Learning is thus a solution for this exigency and an approach for the ‘knowledge acquisition bottleneck’. Since texts are massively available everywhere, making up of experts’ knowledge and their know-how, it is of great value to capture the knowledge existing within such texts. Our approach is thus an interesting research work which tries to answer the challenge of creating concepts’ hierarchies from textual data. The significance of such a solution stems from the idea by which we take advantage of the Wikipedia encyclopedia to achieve some good quality results.