Pruning-Based Identification of Domain Ontologies

Raphael Volz, Rudi Studer, Alexander Maedche
FZI Research Center for Information Technologies, Karlsruhe, Germany
{volz, maedche, studer}@fzi.de
Boris Lauser
Library + Documentation Systems Division
FAO of the UN
Viale delle Terme di Caracalla
Rome, Italy [email protected]

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.

Table of Contents

1 Introduction
2 Pruning
3 Evaluation Desiderata
4 Evaluation Results
5 Conclusion
References