109

urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891

JUCS - Journal of Universal Computer Science

jucs

0948-695X 0948-6968

Journal of Universal Computer Science

10.3217/jucs-009-06-0520

28032

Research Article

H.3.7 - Digital Libraries H.5.4 - Hypertext/Hypermedia

Pruning-based Identification of Domain Ontologies

Volz

Raphael

volz@fzi.de 1 Studer

Rudi

1 Maedche

Alexander

1 Lauser

Boris

FZI Research Center for Information, Technologies Karlsruhe, Karlsruhe, Germany

FZI Research Center for Information, Technologies Karlsruhe

Karlsruhe

Germany 2

Library + Documentation Systems Division, FAO of the UN, Rome, Italy

Library + Documentation Systems Division, FAO of the UN

Rome

Italy

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

Academic editor:

2003

28 06 2003

9 6 520 529 23703BA4-98FF-59B3-A38C-A0F0252FDDB8 6996328

Raphael Volz, Rudi Studer, Alexander Maedche, Boris Lauser

This article is freely available under the J.UCS Open Content License.

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.