Abstract
A large number of datasets about music are available today
in the Linked Open Data cloud, but most of them only describe music
metadata. Datasets representing music notation (i.e. fine-grained musical
transcriptions) are scarce, and hence musicians do not have the possibil-
ity to exploit Web technologies to their full potential. In particular, this
situation hampers the musician’s process of creating mashups, new mu-
sical compositions produced by remixing existing tracks. Recently, the
MIDI Linked Data cloud has interlinked and published more than 300K
MIDI songs as Linked Data. In this paper, we investigate the use of Se-
mantic Web technology to produce musical mashups, and we present a
framework to generate them systematically. We evaluate our approach
with SPARQL-DJ, a prototype implementation that can be used to find,
match, select and synchronize existing MIDI Linked Data, mix them,
and create new musical content.
in the Linked Open Data cloud, but most of them only describe music
metadata. Datasets representing music notation (i.e. fine-grained musical
transcriptions) are scarce, and hence musicians do not have the possibil-
ity to exploit Web technologies to their full potential. In particular, this
situation hampers the musician’s process of creating mashups, new mu-
sical compositions produced by remixing existing tracks. Recently, the
MIDI Linked Data cloud has interlinked and published more than 300K
MIDI songs as Linked Data. In this paper, we investigate the use of Se-
mantic Web technology to produce musical mashups, and we present a
framework to generate them systematically. We evaluate our approach
with SPARQL-DJ, a prototype implementation that can be used to find,
match, select and synchronize existing MIDI Linked Data, mix them,
and create new musical content.
| Original language | English |
|---|---|
| Title of host publication | WHiSe 2017 Workshop on Humanities in the Semantic Web |
| Subtitle of host publication | Proceedings of the Second Workshop on Humanities in the Semantic Web (WHiSe II) co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 22, 2017 |
| Editors | Alessandro Adamou, Enrico Daga, Leif Isaksen |
| Publisher | CEUR-WS.org |
| Pages | 87-98 |
| Number of pages | 12 |
| Publication status | Published - 2017 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR ws.org |
| Volume | 2014 |