The Song Remains the Same: Lossless Conversion and Streaming of MIDI to RDF and Back

A. Meroño-Peñuela; Rinke Hoekstra

The Song Remains the Same: Lossless Conversion and Streaming of MIDI to RDF and Back

A. Meroño-Peñuela, Rinke Hoekstra

DANS-KNAW

Onderzoeksoutput: Hoofdstuk in boek/boekdeel › Hoofdstuk › Wetenschappelijk › peer review

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In this demo, we explore the potential of RDF as a representation
format for digital music. Digital music is broadly used today
in many professional music production environments. For decades, MIDI
(Musical Instrument Digital Interface) has been the standard for digital
music exchange between musicians and devices, albeit not in a Web
friendly way. We show the potential of expressing digital music as Linked
Data, using our midi2rdf suite of tools to convert and stream digital
music in MIDI format to RDF. The conversion allows for lossless round
tripping: we can reconstruct a MIDI file identical to the original using its
RDF representation. The streaming uses an existing, novel generative audio
matching algorithm that we use to broadcast, with very low latency,
RDF triples of MIDI events coming from arbitrary analog instruments.

Originele taal-2	Engels
Titel	The Semantic Web. ESWC 2016
Subtitel	Lecture Notes in Computer Science, vol 9989
Uitgeverij	Springer
Status	Gepubliceerd - 29 mei 2016

Publicatie series

Naam	Lecture Notes in Computer Science
Uitgeverij	Springer
Volume	9989

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ESWC2016_PD_paper_57Accepted author manuscript, 435 KB

https://www.albertmeronyo.org/wp-content/uploads/2016/04/ESWC2016_PD_paper_57.pdf

Common Lab Research Infrastructure for the Arts and Humanities
Heerma van Voss, L.
01/01/2015 → 31/12/2018
Project: Onderzoek

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AB - In this demo, we explore the potential of RDF as a representationformat for digital music. Digital music is broadly used todayin many professional music production environments. For decades, MIDI(Musical Instrument Digital Interface) has been the standard for digitalmusic exchange between musicians and devices, albeit not in a Webfriendly way. We show the potential of expressing digital music as LinkedData, using our midi2rdf suite of tools to convert and stream digitalmusic in MIDI format to RDF. The conversion allows for lossless roundtripping: we can reconstruct a MIDI file identical to the original using itsRDF representation. The streaming uses an existing, novel generative audiomatching algorithm that we use to broadcast, with very low latency,RDF triples of MIDI events coming from arbitrary analog instruments.

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The Song Remains the Same: Lossless Conversion and Streaming of MIDI to RDF and Back

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Common Lab Research Infrastructure for the Arts and Humanities

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