The semantic description of music metadata is a key re- quirement for the creation of music datasets that can be aligned, integrated, and accessed for information retrieval and knowledge discovery. It is nonetheless an open chal- lenge due to the complexity of musical concepts arising from different genres, styles, and periods – standing to benefit from a lingua franca to accommodate various stake- holders (musicologists, librarians, data engineers, etc.). To initiate this transition, we introduce the Music Meta on- tology, a rich and flexible semantic model to describe mu- sic metadata related to artists, compositions, performances, recordings, and links. We follow eXtreme Design method- ologies and best practices for data engineering, to reflect the perspectives and the requirements of various stakehold- ers into the design of the model, while leveraging ontology design patterns and accounting for provenance at different levels (claims, links). After presenting the main features of Music Meta, we provide a first evaluation of the model, alignments to other schema (Music Ontology, DOREMUS, Wikidata), and support for data transformation.
|Title of host publication||Proceedings of the the 24th International Society for Music Information Retrieval Conference|
|Publication status||Accepted/In press - 20 Jun 2023|