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.
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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d’Aquin, M., Schlicht, A., Stuckenschmidt, H., Sabou, M. (2007). Ontology Modularization for Knowledge Selection: Experiments and Evaluations. In: Wagner, R., Revell, N., Pernul, G. (eds) Database and Expert Systems Applications. DEXA 2007. Lecture Notes in Computer Science, vol 4653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74469-6_85
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DOI: https://doi.org/10.1007/978-3-540-74469-6_85
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