Publishing Music Similarity Features on the Semantic Web.
Tidhar, D., Fazekas, G., Kolozali, S. & Sandler, M. (2009). Publishing Music Similarity Features on the Semantic Web. In: Hirata, K, Tzanetakis, G & Yoshii, K (Eds.), ISMIR. 10th International Society for Music Information Retrieval Conference, ISMIR 2009, 26 - 30 Oct 2009, Kobe, Japan.
Abstract
We describe the process of collecting, organising and publishing a large set of music similarity features produced by the SoundBite [10] playlist generator tool. These data can be a valuable asset in the development and evaluation
of new Music Information Retrieval algorithms. They can also be used in Web-based music search and retrieval applications. For this reason, we make a database of features available on the Semantic Web via a SPARQL end-point,
which can be used in Linked Data services. We provide examples of using the data in a research tool, as well as in a simple web application which responds to audio queries and finds a set of similar tracks in our database.
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | M Music and Books on Music > M Music |
| Departments: | School of Communication & Creativity > Performing Arts > Music |
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