Introduction
Ontologies [9] comprise a definition of concepts describing their commonalities (genus proximum) as well as their differences (differentia specifica). One might think that with the definition of commonalities and differences, the definition of similarities in and for ontologies should follow immediately. Traditionally, however, the contrary is true, because the method background of ontologies, i.e. logics-based representations, and similarity, i.e. geometry-based representations, have been explored in disjoint communities that have mixed only to a limited extent. In this short paper we survey how our own work touches on the intersection between ontologies and similarity. While this cannot be a comprehensive account of the interrelationship between ontologies and similarity, we aim it to be a stepping stone for inspiration and for indicating entry points for future investigations.
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References
Bloehdorn, S., Sure, Y.: Kernel methods for mining instance data in ontologies. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 58–71. Springer, Heidelberg (2007)
Cimiano, P., Hotho, A., Staab, S.: Learning concept hierarchies from text corpora using formal concept analysis. JAIR — Journal of AI Research 24, 305–339 (2005)
d’Amato, C.: Similarity-based Learning Methods for the Semantic Web. PhD thesis, University of Bari (2007)
d’Amato, C., Staab, S., Fanizzi, N.: On the influence of description logics ontologies on conceptual similarity. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 48–63. Springer, Heidelberg (2008)
D’Amato, C., Staab, S., Fanizzi, N., Esposito, F.: Dl-link: A conceptual clustering algorithm for indexing description logics knowledge bases. International Journal of Semantic Computing 4(4), 453–486 (2011)
Dellschaft, K., Staab, S.: On how to perform a gold standard based evaluation of ontology learning. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 228–241. Springer, Heidelberg (2006)
Ehrig, M., Staab, S., Sure, Y.: Bootstrapping ontology alignment methods with apfel. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 186–200. Springer, Heidelberg (2005)
Ganter, B., Wille, R.: Formal Concept Analysis Mathematical Foundations. Springer, Heidelberg (1999)
Guarino, N., Oberle, D., Staab, S.: What is an ontology? In: Handbook on Ontologies, 2nd revised edn. (2009)
Hotho, A., Staab, S., Stumme, G.: Ontologies improve text document clustering. In: Proceedings of the International Conference on Data Mining, ICDM 2003. IEEE Press, Los Alamitos (2003)
Klusch, M., Fries, B., Sycara, K.P.: Owls-mx: A hybrid semantic web service matchmaker for owl-s services. Journal of Web Semantics 7(2), 121–133 (2009)
Maedche, A., Staab, S.: Measuring similarity between ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 251–263. Springer, Heidelberg (2002)
Resnik, P.: Using information content to evaluate semantic similarity in a taxanomy. In: Proc. of Int. Joint Conf. for Artificial Intelligence (IJCAI 1995), pp. 448–453 (1995)
Staab, S., Studer, R. (eds.): Handbook on Ontologies, 2nd revised edn. (2009)
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Staab, S. (2011). Ontologies and Similarity. In: Ram, A., Wiratunga, N. (eds) Case-Based Reasoning Research and Development. ICCBR 2011. Lecture Notes in Computer Science(), vol 6880. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23291-6_3
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DOI: https://doi.org/10.1007/978-3-642-23291-6_3
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