The MIDI Linked Data Cloud

A. Meroño-Peñuela, Rinke Hoekstra, Victor de Boer, Stefan Schlobach, B. Janssen, Aldo Gangemi, Alo Allik, Reinier De Valk, Peter Bloem, Bas Stringer, Kevin Page

Research output: Chapter in book/volumeContribution to conference proceedingsScientificpeer-review

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The study of music is highly interdisciplinary, and thus requires the combination of datasets from multiple musical domains, such as catalog metadata (authors, song titles, dates), industrial records (labels, producers, sales), and music notation (scores). While today an abundance of music metadata exists on the Linked Open Data cloud, linked datasets containing interoperable symbolic descriptions of music itself, i.e. music notation with note and instrument level information, are scarce. In this paper, we describe the MIDI Linked Data Cloud dataset, which represents multiple collections of digital music in the MIDI standard format as Linked Data using the novel midi2rdf algorithm. At the time of writing, our proposed dataset comprises 10,215,557,355 triples of 308,443 interconnected MIDI files, and provides Web-compatible descriptions of their MIDI events. We provide a comprehensive description of the dataset, and reflect on its applications for research in the Semantic Web and Music Information Retrieval communities.
Original languageEnglish
Title of host publicationProceedings of the 16th International Semantic Web Conference (ISWC 2017)
Publication statusPublished - 2017

Publication series

NamePart of the Lecture Notes in Computer Science book series (LNCS)


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