The MIDI Linked Data Cloud

A. Merono Penuela, R.J. Hoekstra, A. Gangemi, P. Bloem, Reinier de Valk, Bas Stringer, Berit Janssen, Viktor de Boer, Alo Alik, Stefan Schlobach, Kevin Page

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

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 publicationThe Semantic Web - Proceedings of ISWC2017
Subtitle of host publication16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II
EditorsClaudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange, Jeff Heflin
Place of PublicationCham
PublisherSpringer
Pages156-164
Number of pages9
ISBN (Electronic)9783319682044
ISBN (Print)9783319682037
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham
Volume10588

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