Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Audiovisual . 2017
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2017
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Stories, songs, steps, and tunes: a linked data ontology for Irish traditional music and dance

Authors: Weissenberger, Lynnsey;

Stories, songs, steps, and tunes: a linked data ontology for Irish traditional music and dance

Abstract

Stories and narrative play a large part in orally-based transmission of Irish traditional music and dance, infusing relationships between people–and between people and music information objects–with layers of nuance and complexity. A recently commenced project, LITMUS (Linked Irish Traditional Music), focuses on the development of the first linked data ontology specifically to address the needs of Irish traditional song, instrumental music, and dance–and by extension serve as a reference point for other linked data projects involving orally-based music traditions. This paper describes several key issues related to constructing this linked data ontology, including challenges of accurately representing complex musical relationships: musician-musician; musician-music; music-dance; variants of tunes; where the musical variation ends and the act of composition begins; and, Irish language and English language equivalents in musician, tune, and geographic place names. Once completed, the ontology will enable future opportunities for digital discovery, exploration, and facilitate meaningful research connections in a variety of humanities and social science disciplines.

Keywords

Linked data, Irish traditional musid, LITMUS (Linked Irish Traditional Music), Music

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average