Slides from a talk from the Resources Track at ISWC2017 in Vienna.

1. Linked Data Publication of
Live Music Archives and
Analyses
Sean Bechhofer,Kevin R.Page,David M.Weigl,György
Fazekas,and Thomas Wilmering

2. “A world of digital collections—databases of
relatively raw cultural heritage materials…
and then layers of interpretation and
presentation built upon these databases and
making reference to objects within them”
Lynch

3. Collection
Internet Archive Live Music Archive—“etree”
Community Contributed live recordings
5,000 artists
130,000 performances
Uploader contributed metadata

4. Collection
Freely available audio in various formats
Various genres
Variety of quality
Multiple performances
Cover versions

6. Collection Metadata
Conversion/publication of raw metadata as RDF
Publication as Linked Data with rationalised
identifiers
Alignment with external sources
SPARQL/pubby access
Music Ontology,Event Ontology,Similarity Ontology,
SKOS,VoID

9. Computational Analysis/Feature
Metadata
Audio analysis of tracks: chromagrams,chord,tempo,
key,structural segmentation etc.
Separation of analysis metadata and provenance from
analysis results
Feature data stored as a“blob”
Access via direct download
PROV,VAMP,Audio Feature Ontology/Vocabulary

15. Exploratory Analysis
Exploratory analysis tools and workflows
Typicality of key
Initial workset based on metadata
Results of key typicality used for metadata validation

17. Discussion
Two differing,but complementary purposes
etree: bibliographic metadata
calma: audio analysis
Integration of audio feature analysis and
bibliographic metadata to support navigation and
retrieval

18. Discussion
Software/analysis focused on a single investigation
might be cheaper
But we get the potential to reuse,expand and
transparency of method
CALMA dataset builds on the existing etree collection
It's a fun dataset to play with!

19. http://etree.linkedmusic.org/
http://calma.linkedmusic.org/