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Controlled Vocabularies for Music Metadata

Authors: Lisena, Pasquale; Todorov, Konstantin; Cecconi, Cécile; Leresche, Françoise; Canno, Isabelle; Puyrenier, Frédéric; Voisin, Martine; +2 Authors

Controlled Vocabularies for Music Metadata

Abstract

We present a set of music-specific controlled vocabularies, formalized using Semantic Web languages, describing topics like musical genres, keys, or medium of performance. We have collected a number of existing vocabularies in various formats, converted them to SKOS and performed the interconnection of their equivalent terms. In addition, novel vocabularies, not available online before, have been designed by an editorial team. Next to multilingual labels and definitions, we provide hierarchical relations as well as links to external resources. We also show the application of those vocabularies for the production of vector embeddings, allowing for the calculation of distances between keys or between instruments.

Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-WB] Computer Science [cs]/Web, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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