Abstract
Many datasets describing musical resources are published to-
day as Linked Data, mainly focusing on metadata, notation, and audio
features. However, the availability of musical data as Linked Data is of-
ten not enough for musicians, who need additional layers of software and
queries to accomplish their workflows. Mashups are compositions created
by blending two or more pre-recorded songs, and it has been shown that
they can be generated by using SPARQL on top of MIDI music repre-
sented as Linked Data. In this demonstration, we showcase SPARQL-DJ,
a web-based application implementing those layers for the workflow of
generating MIDI mashups using Linked Data and SPARQL. The demon-
stration focuses on three parts: (1) coverage of the mashup composition
workflow; (2) scoping of input retrieval for beatmaching by broadening
text search and leveraging track annotations; and (3) management of
off-beat and dissonance.
day as Linked Data, mainly focusing on metadata, notation, and audio
features. However, the availability of musical data as Linked Data is of-
ten not enough for musicians, who need additional layers of software and
queries to accomplish their workflows. Mashups are compositions created
by blending two or more pre-recorded songs, and it has been shown that
they can be generated by using SPARQL on top of MIDI music repre-
sented as Linked Data. In this demonstration, we showcase SPARQL-DJ,
a web-based application implementing those layers for the workflow of
generating MIDI mashups using Linked Data and SPARQL. The demon-
stration focuses on three parts: (1) coverage of the mashup composition
workflow; (2) scoping of input retrieval for beatmaching by broadening
text search and leveraging track annotations; and (3) management of
off-beat and dissonance.
| Original language | English |
|---|---|
| Title of host publication | ISWC-P&D-Industry 2017 ISWC 2017 Posters & Demonstrations and Industry Tracks |
| Subtitle of host publication | Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 23rd to 25th, 2017 |
| Editors | Nadeschda Nikitina, Dezhao Song, Achille Fokoue, Peter Haase |
| Publisher | CEUR-WS.org |
| Number of pages | 4 |
| Publication status | Published - 2017 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR ws.org |
| Volume | 1963 |