We present a novel approach of extracting a domain ontology from large-scale thesauri. Concepts are identified to be relevant for a domain based on their frequent occurrence in domain texts. The approach allows to bootstrap the ontology engineering process from given legacy thesauri and identifies an initial domain ontology that may easily be refined by experts in a later stage. We present a thorough evaluation of the results obtained in building a biosecurity ontology for the UN FAO AOS project.
Volz, Raphael and Studer, Rudi and Maedche, Alexander and Lauser, Boris Pruning-based identification of domain ontologies. Journal of Universal Computer Science, 2003, vol. 9, pp. 520-529. [Journal article (Print/Paginated)]