Many applications take advantage of both ontologies and the Linked Data paradigm to characterize various kinds of resources. To fully exploit this knowledge, measures are used to estimate the relatedness of resources regarding their semantic characterization. Such semantic measures, particularly useful for information retrieval in RDF knowledge bases, mainly focus on specific aspects of the semantic characterization (e.g. types) or only partially exploit the semantics expressed in the knowledge base. We proposed a framework for defining semantic measures in the aim of comparing instances defined within an RDF knowledge base and we demonstrated that it is particularly well suited to recommendation systems. An application has been developed dedicated to music band recommendation: http://www.lgi2p.ema.fr:8090/kid/tools/bandrec

Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems online 
Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi and Jacky Montmain. 
Proceedings of On the Move to Meaningful Internet Systems: OTM 2013 Conferences, ODBase 2013, 
Lecture Notes in Computer Science, vol. 8185, Robert Meersman, Hervé Panetto, Tharam Dillon, Johann Eder, 
Zohra Bellahsene, Norbert Ritter, Pieter Leenheer, and Deijing Dou eds, isbn : 978-3-642-41029-1, 
Springer Berlin Heidelberg, pp. 606-615, Graz, Austria, September 10-12 2013.