how does a knowledge graph sound like? (or: music is a graph)
TRANSCRIPT
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1 Het begint met een idee1 Het begint met een idee
Thesis submitted & just approved
“Refining Statistical Data on the Web”
60% of time is spent on data preparation
Intelligent solutions for statistical data integration on the Web
Use case on structured Humanities data
Something different!
1 Faculty / department / title presentation
WHY THIS TALK?
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Vrije Universiteit Amsterdam
Maybe not that different…
2
SEMANTIC WEB AND THE HUMANITIES
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3 Het begint met een idee
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Vrije Universiteit Amsterdam4
ISWC 2013 JAM SESSION
Jam’s “metadata”
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Vrije Universiteit Amsterdam
Besides how awesome this is…
The jam became global (i.e. de-referenceable URIs from anywhere) rather than local> But any video stream would have been more accurate (for humans)
The jam became machine readable> But not all of it
Digital music as Linked Data?
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REPRESENTING MUSIC IN RDF
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6 Het begint met een idee
HOW DOES A KNOWLEDGE GRAPH SOUND LIKE?
(OR: MUSIC IS A GRAPH)
![Page 7: How does a knowledge graph sound like? (or: music is a graph)](https://reader030.vdocuments.us/reader030/viewer/2022020203/58727dd31a28abc7068b5ad7/html5/thumbnails/7.jpg)
Vrije Universiteit Amsterdam
Music representation format which is 100% digital > (i.e. leaving nothing to analog signals actual instruments)
MIDI (Musical Instrument Digital Interface)> Universal synthesizer interface> Roland (I. Kakehashi), Yamaha, Korg, Kawai (1981)> Digital, fine-grained representation of musical tracks and events> Wide range of controllers and instruments
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WEEKEND EXPERIMENT
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Vrije Universiteit Amsterdam8
MIDI
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Vrije Universiteit Amsterdam9
MIDI2RDF
https://github.com/albertmeronyo/midi2rdf
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Vrije Universiteit Amsterdam
Music representation format which is> 100% digital (i.e. leaving nothing to analog signals)> Secundary list
MIDI (Musical Instrument Digital Interface)> Universal synthesizer interface> Roland (I. Kakehashi), Yamaha, Korg, Kawai (1981)> Digital, fine-grained representation of musical events> Wide range of controllers and instruments
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WEEKEND EXPERIMENT
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Vrije Universiteit Amsterdam
midi2rdf> Any MIDI to an RDF midi-comptabile representation> All MIDI resources get URIs (can link, be linked, de-referenced)> Music is a graph!
rdf2midi> Round trip conversion> Lossless!> MIDI \subseteq RDF
playrdf.sh> RDF files can be ‘played’ without data loss> Demo
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LOSSLESS CONVERSION
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Vrije Universiteit Amsterdam
Enrichment of musical assets and events in Linked Data> Annotations> Provenance> Links to places, people, events> Music stream = live representation of music on play
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APPLICATIONS (I)
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Vrije Universiteit Amsterdam
Musical representation of knowledge graphs> Just as we care about visualization of knowledge graphs> Linkage of graph resources/properties to things that can be played
> Size = pitch> Regularity = harmony (irregularity = dissonance)
> Graph musical navigation> Music stream = navigation path
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APPLICATIONS (II)
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Vrije Universiteit Amsterdam
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Vrije Universiteit Amsterdam
Questions, comments, suggestions most welcome
@albertmeronyo
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THANK YOU!