Tonal MIR: a music retrieval engine based on semantic web technologies

Authors:
Matteo Magistrali;Nadia Catenazzi;Lorenzo Sommaruga
Affiliations:
Università dell'Insubria, Varese (IT);University of Applied Sciences of Southern Switzerland (SUPSI), Manno (CH);University of Applied Sciences of Southern Switzerland (SUPSI), Manno (CH)
Venue:
Proceedings of the 6th International Conference on Semantic Systems
Year:
2010

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Abstract

Within the Music Information Retrieval context, this paper describes an innovative approach to discovering music similarities. The Tonal MIR system has been designed and developed to provide a powerful and flexible music retrieval mechanism using semantic web technologies. The retrieval process is based on an algorithm consisting of two main phases: the preprocessing, that converts an audio file into an XML/RDF normalized form; the matching phase, based on inference rules, that compares the normalized music excerpt with the music items stored in a database, and produces as output a list of results ranked according to a similarity degree.