Abstract
Effective information integration is still one of today’s emerging research goals. The explosive growth of heterogeneous information sources makes the task harder and more challenging. Although ontologies promise an effective solution towards information management and coordination, it would be a surprise if two independent parties have constructed the same ontology to manage information for the same domain. Hence, to integrate information effectively, ontology mapping methods are invaluable. This paper presents the AUTOMS-F framework, which aims to facilitate the development of synthesized methods for the efficient and effective automatic mapping of ontologies. AUTOMS-F is highly extendable and customizable, providing facilities for supporting the rapid prototyping of synthesized mapping methods, adapting some well established programming design patterns. The paper presents the AUTOMS mapping method as an evaluated case of AUTOMS-F’s potential.
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© 2009 Springer-Verlag Berlin Heidelberg
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Valarakos, A.G., Spiliopoulos, V., Vouros, G.A. (2009). AUTOMS-F: A Framework for the Synthesis of Ontology Mapping Methods. In: Pellegrini, T., Auer, S., Tochtermann, K., Schaffert, S. (eds) Networked Knowledge - Networked Media. Studies in Computational Intelligence, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02184-8_4
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DOI: https://doi.org/10.1007/978-3-642-02184-8_4
Publisher Name: Springer, Berlin, Heidelberg
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