Ontology modularization for knowledge selection: Experiments and evaluations

d'Aquin, M.; Schlicht, A.; Stuckenschmidt, H. and Sabou, M. (2007). Ontology modularization for knowledge selection: Experiments and evaluations. In: Wagner, Roland R.; Revell, Norman and Pernul, Gunther eds. Database and Expert Systems Applications: 18th International Conference, Dexa 2007, Regensburg, Germany, September 3-7, 2007, Proceedings. Lecture Notes in Computer Science (4653). Springer-Verlag, pp. 874–883.

DOI: https://doi.org/10.1007/978-3-540-74469-6_85

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.

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• Item ORO ID
• 15581
• Item Type
• Book Section
• ISBN
• 3-540-74467-3, 978-3-540-74467-2
• Keywords
• ontology modularization; partitioning; module extraction
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Depositing User
• Colin Smith