This specification defines a small ontology for similarity called MuSim. In MuSim, the association between two (or more) Things is a class to be reified rather than a property. This allows us to embrace the complexity of associations and accommodate the subjectivity and context-dependence of musical and multimedia similarity. Although this ontology was designed with music similarity in mind, it can readily be applied to other domains.
P. Kathiria, and S. Ahluwalia. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 5 (1):
53 - 62(February 2016)
A. Budanitsky, and G. Hirst. Workshop on WordNet and Other Lexical Resources, Second meeting of the North American Chapter of the Association for Computational Linguistics, Pittsburgh, USA, (2001)
A. Plangprasopchok, K. Lerman, and L. Getoor. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 949--958. New York, NY, USA, ACM, (2010)
A. Maedche, and S. Staab. EKAW '02: Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web, page 251--263. London, UK, Springer-Verlag, (2002)
C. Cattuto, D. Benz, A. Hotho, and G. Stumme. Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3), page 39--43. Patras, Greece, (July 2008)