JUCS - Journal of Universal Computer Science 9(6): 520-529, doi: 10.3217/jucs-009-06-0520
Pruning-based Identification of Domain Ontologies
expand article infoRaphael Volz‡, Rudi Studer‡, Alexander Maedche‡, Boris Lauser§
‡ FZI Research Center for Information, Technologies Karlsruhe, Karlsruhe, Germany§ Library + Documentation Systems Division, FAO of the UN, Rome, Italy

Corresponding author: Raphael Volz ( volz@fzi.de )

© Raphael Volz, Rudi Studer, Alexander Maedche, Boris Lauser.
This article is freely available under the J.UCS Open Content License.
Citation: Volz R, Studer R, Maedche A, Lauser B (2003) Pruning-based Identification of Domain Ontologies. JUCS - Journal of Universal Computer Science 9(6): 520-529. https://doi.org/10.3217/jucs-009-06-0520
Open Access
Abstract
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.
Keywords
ontologies, pruning, knowledge management, structural computing