Supporting Music Pattern Retrieval and Analysis: An Ontology-Based Approach

Abstract

Analyzing music notations is found useful for musicology purposes. This can be applied by retrieving semantic information from digitally annotated music scores. In this paper, we propose an ontology that structures the knowledge extraction process of a music pattern analysis algorithm. In addition to mandatory elements that describe music scores, the proposed ontology relies on contextual elements and attributes for pattern analysis. The ontology then supports the semantic information retrieval and analysis processes of music score contents. We illustrate the whole mechanism by explaining the workflow of the ontology integrated inside a music encoding platform for eastern music.