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Ontology Modularization for Knowledge Selection: Experiments and Evaluations

Mathieu d’AquinContact Information, Anne SchlichtContact Information, Heiner StuckenschmidtContact Information and Marta SabouContact Information

(1)  Knowledge Media Institute (KMi), The Open University, Milton Keynes, UK
(2)  University of Mannheim, Germany
Abstract
Problems with large monolithical ontologies in terms of reusability, scalability and maintenance have led to an increasing interest in modularization techniques for ontologies. Currently, existing work suffers from the fact that the notion of modularization is not as well understood in the context of ontologies as it is in software engineering. In this paper, we experiment on applying state-of-the-art tools for ontology modularization in the context of a concrete application: the automatic selection of knowledge components to be used for Web page annotation and semantic browsing. We conclude that, in a broader context, an evaluation framework is required to guide the choice of a modularization tool, in accordance with the requirements of the considered application.

Keywords  Ontology modularization - partitioning - module extraction

This work is partially funded by the Open Knowledge (IST-FF6-027253) and NeOn projects (IST-FF6-027595), and partially supported by the German Science Foundation under contract STU 266/1 as part of the Emmy-Noether Program.

Contact Information Mathieu d’Aquin
Email: m.daquin@open.ac.uk

Contact Information Anne Schlicht
Email: anne@informatik.uni-mannheim.de

Contact Information Heiner Stuckenschmidt
Email: heiner@informatik.uni-mannheim.de

Contact Information Marta Sabou
Email: r.m.sabou@open.ac.uk
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