Ontology Modularization for Knowledge Selection: Experiments and Evaluations
Mathieu d’Aquin1
, Anne Schlicht2
, Heiner Stuckenschmidt2
and Marta Sabou1 
| (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.
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