Title: Merging sub-ontologies

Authors: Andrew Flahive; David Taniar; Wenny Rahayu

Addresses: Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Victoria 3086, Australia ' Clayton School of Information Technology, Monash University, Clayton, Victoria 3800, Australia ' Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Victoria 3086, Australia

Abstract: Ontologies, such as UMLS and WordNet, are generally very large, and are normally the source of more specialised and smaller ontologies tailored for a certain application. It is natural that the source ontologies be multiple large ontologies, each of which is extracted, and then merged to create a smaller and tailored ontology for a specific domain. Therefore, extracting sub-ontologies as well as merging them is a primary process. In this paper, we propose sub-ontology extraction and merging, whereby multiple sub-ontologies are extracted from various source ontologies and then these extracted sub-ontologies are merged to form a complete ontology to be used by the user. We use the maximum extraction method to facilitate this. A walkthrough case study using the UMLS meta-thesaurus ontology is also presented.

Keywords: ontology extraction; ontology merging; ontology tailoring; ontology reuse; sub-ontologies.

DOI: 10.1504/IJWGS.2014.060262

International Journal of Web and Grid Services, 2014 Vol.10 No.2/3, pp.273 - 295

Available online: 02 Apr 2014 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article