Abstract
We present a general framework for addressing the problem of semantic intelligibility among artificial agents based on concepts integral to the case-based reasoning research program. For this purpose, we define case-based semiotics (CBS) (based on the well known notion of the semiotic triangle) as the model that defines semantic intelligibility. We show how traditional CBR notions like transformational adaptation can be used in the problem of two agents achieving mutual intelligibility over a collection of concepts (defined in CBS).
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References
Aimé, X., Furst, F., Kuntz, P., Trichet, F.: SemioSem: A Semiotic-Based Similarity Measure. In: Meersman, R., Herrero, P., Dillon, T. (eds.) OTM 2009 Workshops. LNCS, vol. 5872, pp. 584–593. Springer, Heidelberg (2009)
Eco, U.: I limiti dell’interpretazione. Bompiani (1990)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer (2007)
Fisher, D.H.: Knowledge acquisition via incremental conceptual clustering. Machine Learning 2(2), 139–172 (1987)
Leake, D.B., Ram, A. (eds.): Goal-Driven Learning. MIT Press (1995)
Ontañón, S., Plaza, E.: Concept convergence in empirical domains. In: Pfahringer, B., Holmes, G., Hoffmann, A. (eds.) DS 2010. LNCS (LNAI), vol. 6332, pp. 281–295. Springer, Heidelberg (2010)
Schorlemmer, M., Kalfoglou, Y.: Progressive ontology alignment for meaning coordination: An information-theoretic foundation. In: Proc. AAMAS 2005, pp. 737–744. ACM Press (2005)
Schorlemmer, M., Kalfoglou, Y., Atencia, M.: A formal foundation for ontology-alignment interaction models. International Journal on Semantic Web and Information Systems 3(2), 50–68 (2007)
Steels, L.: Why We Need Evolutionary Semantics. In: Bach, J., Edelkamp, S. (eds.) KI 2011. LNCS, vol. 7006, pp. 14–25. Springer, Heidelberg (2011)
Stumme, G., Maedche, A.: FCA-MERGE: Bottom-up merging of ontologies. In: Proc. IJCAI 2001, pp. 225–230. Morgan Kaufmann Publishers Inc. (2001)
Wang, J., Gasser, L.: Mutual online ontology alignment. In: Proc. AAMAS 2002 Workshop on Ontologies in Agent Systems, OAS 2002. CEUR Workshop Proceedings, vol. 66 (1990)
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Manzano, S., Ontañón, S., Plaza, E. (2012). A Case-Based Approach to Mutual Adaptation of Taxonomic Ontologies. In: Agudo, B.D., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2012. Lecture Notes in Computer Science(), vol 7466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32986-9_18
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DOI: https://doi.org/10.1007/978-3-642-32986-9_18
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