Matches in ScholarlyData for { ?s ?p In this demo, we stretch the capabilities of RDF as a metadata representation format, and we use it to encode 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. Here, 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 a novel generative audio matching algorithm that enables us to broadcast, with very low latency, RDF triples describing MIDI events coming from arbitrary analog instruments.. }
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- 57 abstract "In this demo, we stretch the capabilities of RDF as a metadata representation format, and we use it to encode 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. Here, 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 a novel generative audio matching algorithm that enables us to broadcast, with very low latency, RDF triples describing MIDI events coming from arbitrary analog instruments.".