Abstract
Various knowledge-based information systems contain distinct knowledge representations reflecting different domains of interest and different viewpoints across domains of discourse. For efficient use of knowledge-based systems it is necessary to know semantic relations or alignment between different knowledge representations. One of the promising approaches is the use of intelligent software agents where agents communicate in order to align respective knowledge representations. The paper presents an approach for ontology alignment based on implementation of meaning negotiation between intelligent agents. In the approach, negotiation is conducted in iterative way. At each step agents compare ontological contexts and use propositional substitutions in order to reduce semantic distance between the contexts. The focus of the paper is the implementation of agents’ negotiation strategy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284, 28–37 (2001)
Davidovsky, M., Ermolayev, V., Tolok, V.: A Survey on Agent-Based Ontology Alignment. In: Proc. Int. Conf. on Agents and Artificial Intelligence (ICAART 2012), Vilamoura, Algarve, Portugal, February 6-8, pp. 355–361 (2012)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Heidelberg (2007)
Ermolayev, V., Keberle, N., Matzke, W.-E., Vladimirov, V.: A Strategy for Automated Meaning Negotiation in Distributed Information Retrieval. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 201–215. Springer, Heidelberg (2005)
Davidovsky, M., Ermolayev, V., Tolok, V.: Instance Migration Between Ontologies having Structural Differences. International Journal on Artificial Intelligence Tools 20(6), 1127–1156 (2011)
Henderson-Sellers, B., Gonzalez-Perez, C.: Standardizing Methodology Metamodelling and Notation: An ISO Exemplar. In: Kaschek, R., Kop, C., Steinberger, C., Fliedl, G. (eds.) UNISCON 2008. LNBIP, vol. 5, pp. 1–12. Springer, Heidelberg (2008)
Euzenat, J., Le Bach, T., Barrasa, J., Bouquet, P., De Bo, J., Dieng, R., Ehrig, M., Hauswirth, M., Jarrar, M., Lara, R., Maynard, D., Napoli, A., Stamou, G., Stuckenschmidt, H., Shvaiko, P., Tessaris, S., Van Acker, S., Zaihrayeu, I.: State of the art on ontology alignment. KnowledgeWeb project deliverable D2.2.3, v.1.2 (August 2, 2004), http://knowledgeweb.semanticweb.org/
Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to match ontologies on the Semantic Web. International Journal on Very Large Data Bases 12(4), 303–319 (2003)
Tversky, A.: Features of Similarity. Psychological Review 84(4), 327–352 (1977)
David, J., Euzenat, J., Scharffe, F., Trojahn dos Santos, C.: The Alignment API 4.0. Semantic Web 2(1), 3–10 (2011)
Davidovsky, M., Ermolayev, V., Matzke, W.-E., Tolok, V.: Evaluation of Semi-automated Ontology Instance Migration. In: Essaaidi, M., Malgeri, M., Badica, C., et al. (eds.) Intelligent Distributed Computing IV. SCI, vol. 315, pp. 179–190. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Davidovsky, M., Ermolayev, V., Tolok, V. (2013). Agent-Based Implementation for the Discovery of Structural Difference in OWL-DL Ontologies. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds) Information Systems: Methods, Models, and Applications. UNISCON 2012. Lecture Notes in Business Information Processing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38370-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-38370-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38369-4
Online ISBN: 978-3-642-38370-0
eBook Packages: Computer ScienceComputer Science (R0)