mlsanityData to 14 Oct 2026

The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata

arXiv 2311.03942 ↗First posted 7 Nov 2023cs.IR cs.AI cs.MMcited by 4

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Abstract (arXiv)

The semantic description of music metadata is a key requirement for the creation of music datasets that can be aligned, integrated, and accessed for information retrieval and knowledge discovery. It is nonetheless an open challenge due to the complexity of musical concepts arising from different genres, styles, and periods -- standing to benefit from a lingua franca to accommodate various stakeholders (musicologists, librarians, data engineers, etc.). To initiate this transition, we introduce the Music Meta ontology, a rich and flexible semantic model to describe music metadata related to artists, compositions, performances, recordings, and links. We follow eXtreme Design methodologies and best practices for data engineering, to reflect the perspectives and the requirements of various stakeholders 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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 3 of its 52 references that are in the map. First posted on arXiv 7 Nov 2023.

Builds on

3 of 52 references.

References · 3

  1. 2020The Landscape of Ontology Reuse Approachescited by 7
  2. 2022The HaMSE Ontology: Using Semantic Technologies to support Music Representation Interoperability and Musicological Analysiscited by 1
  3. 2023The Music Annotation Patterncited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 0; 2026: 2.

4 papers.