In the music domain, several ontologies have been proposed to annotate musical data, in both symbolic and audio form, and generate semantically rich Music Knowledge Graphs. However, current models lack interoperability and are insufficient for representing music history and the cultural heritage context in which it was generated; risking the propagation of recency and cultural biases to downstream applications. In this article, we propose the Polifonia Ontology Network (PON) for music cultural heritage, centred around four modules: Music Meta (metadata), Representation (content), Source (provenance) and Instrument (cultural objects). We design PON with a strong accent on cultural stakeholder requirements and competency questions (CQs), contributing an NLP-based toolkit to support knowledge engineers in generating, validating, and analysing them; and a novel, high-quality CQ dataset produced as a result. We show current and future use of these resources by internal project pilots, early adopters in the music industry, and opportunities for the Semantic Web and Music Information Retrieval communities.
CITATION STYLE
de Berardinis, J., Carriero, V. A., Jain, N., Lazzari, N., Meroño-Peñuela, A., Poltronieri, A., & Presutti, V. (2023). The Polifonia Ontology Network: Building a Semantic Backbone for Musical Heritage. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14266 LNCS, pp. 302–322). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-47243-5_17
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