Abstract
In this paper, we consider the problem of query answering over large multimedia ontologies. Traditional reasoning systems may have problems to deal with large amounts of expressive ontological data (terminological as well as assertional data) that usually must be kept in main memory. We propose to overcome this problem with a new so-called filter and refine paradigm for ontology-based query answering.
The contribution of this paper is twofold: (1) For both steps, algorithms are presented. (2) We evaluate our approach on real world multimedia ontologies from the BOEMIE project.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Acciarri, A., Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Palmieri, M., Rosati, R.: Quonto: Querying ontologies. In: Proc. of the 20th Nat. Conf. on Artificial Intelligence, AAAI 2005 (2005)
Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook. Cambridge University Press, New York (2007)
Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family (2007)
Guo, Y., Pan, Z., Heflin, J.: Lubm: A benchmark for owl knowledge base systems. J. Web Sem. 3(2-3), 158–182 (2005)
Haarslev, V., Möller, R., Wessel, M.: RacerPro User’s Guide and Reference Manual Version 1.9.1 (May 2007)
Möller, R., Haarslev, V., Wessel, M.: On the scalability of description logic instance retrieval. In: Freksa, C., Kohlhase, M. (eds.) 29. Deutsche Jahrestagung für Künstliche Intelligenz. LNCS (LNAI), Springer, Heidelberg (2006)
Wandelt, S., Moeller, R.: Island reasoning for alchi ontologies. In: Proceedings of the 5th International Conference on Formal Ontology in Information Systems (FOIS 2004). IOS Press, Amsterdam (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kaplunova, A., Möller, R., Wandelt, S., Wessel, M. (2010). Towards Scalable Instance Retrieval over Ontologies. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-15280-1_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15279-5
Online ISBN: 978-3-642-15280-1
eBook Packages: Computer ScienceComputer Science (R0)