Description:
<jats:p>Music information retrieval (MIR) is a multidiscipline area. Within this domain one can see various approaches to musical instrument recognition, musical phrase classification, melody classification (e.g., query-by-humming systems), rhythm retrieval, high-level-based music retrieval such as looking for emotions in music or differences in expressiveness, and music search based on listeners’ preferences. One may also find research that tries to correlate low-level descriptor analysis to high-level human perception. Researchers from musical acoustics, musicology, and music domains on one side, and communication technology on the other side, work together within this area. This may foster a framework for broader and deeper comprehension of contributions from all these disciplines and, in addition, translate the automated access to music information, gathered in various forms around the World Wide Web, as a fully understandable process to all participants regardless of their background. The semantic description is becoming a basis of the next Web generation. Several important concepts have been introduced recently by the researchers associated with the MIR community with regard to semantic data processing including techniques for computing with words. In this presentation some aspects related to MIR are briefly reviewed in the context of possible and actual applications of ontology-based approach to this domain.</jats:p>