Explorations in linked data practice for early music
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1 Explorations in linked data practice for early music Tim Crawford, Ben Fields, David Lewis (Goldsmiths, University of London) Kevin Page (Oxford University) Reinier de Valk, Tillman Weyde (City University London)
2 Background Overview Some music history Our data sources Why linked data? Practicalities: methods and challenges Aspects of our ontology design Existing resources Alignment methods Conclusions What we can do now (and some numbers) Further work and opportunities
3 Some music history
4 Jachet Berchem Ensemble Dumblis e Puemas arr. Melchior Neusiedler Paul O Dette
5 Data sources I: Electronic Corpus Of Lute Music Lute music from 16th to 18th century Metadata for c. 2,400 pieces Symbolic encoding of c.1,100 pieces
6 Data Sources II: Early Music Online Digitised microfilm images: 300 printed books from the 16th century c.35,000 pages > 8,000 musical items Mostly part books, but includes table books, and lute and keyboard tablatures Catalogued in MARC
7 Data Sources III: Transcription efforts Vocal music: Optical recognition (Aruspix) Lute music: Optical recognition (Gamera) Crowd-sourced double-entry correction
8 Linked Data Internal linking Building on existing resources Making our resource useful to others
9 Ontology design Only a first step First stage information criteria: Useful Meaningfully linkable Relatively uncontroversial Limit search space for further linking
10 Ontology design Places Important for studying spread of ideas Available for all EMO books Well represented in external linked data sources People Important for almost all historical study Well represented in external sources Helpful for work identification
11 Existing Resources VIAF Library authority files Good match for BL-generated metadata External links vary MusicBrainz Potentially useful links to recordings DBpedia
12 Existing Resources Other sources: BBC YouTube IMSLP
13 Alignment methods Automatic alignment using string queries via http APIs Manual verification Sources: VIAF DBpedia
14 Verifying alignments
15 People: 1,235 in Slickmem DB ECOLM: 198 EMO: 1,037 1,235
16 People: 1,235 in Slickmem DB 794 in VIAF (736 distinct) sameas.org 465 non-self DBpedia DBtune BBC Wikipedia
17 People: 1,235 in Slickmem DB 794 in VIAF 300 (736 in distinct) MusicBrainz (272 distinct) sameas.org? VIAF-MB overlap: 277
18 What can we do? Publish places and people, and relate them to music books in our collections Link outwards to VIAF, MusicBrainz and DBpedia Provide new sameas links between external resources
19 Representing musical structure in OWL-DL Example: Incipit in SEQ representation
20 DL-Based Queries b at start b somewhere breve followed by 2 minims breve b followed by a Use of standard DL reasoner Also useable with Chord Ontology, Segment Ontology etc.
21 What will we add? Information about works Notated musical content Links to facsimile images And, maybe: Partially automated links to IMSLP Audio sources Concert programs/bbc playlists
22 ...and more Linked data in musicology:
23 Thank you Tim Crawford, Ben Fields, David Lewis (Goldsmiths, University of London) Kevin Page (Oxford University) Reinier de Valk, Tillman Weyde (City University London)
Crawford, Tim; Fields, Ben; Lewis, David and Page, Kevin R.. 2014. Explorations in Linked Data practice for early music corpora. In: Digital Libraries 2014. London, United Kingdom 8-12 September 2014.
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