1. AIT Austrian Institute of Technology
Crowdsourcing and Semantic Enrichments for
European Cultural Heritage
Sergiu Gordea, Michela Vignoli and Roman Graf 2016 Klagenfurt am Wörthersee, 27.09

2. Agenda Europeana Digital Service Infrastructure
Search and browsing in multilingual Cultural Heritage repository
Semantic enrichments in Thematic Collections
Crowdsourcing semantic enrichments in EU Sounds
Vocabulary/Thesauri alignment approach
Experimental Results
Vocabulary alignment for music instruments
Using categorization information
Using text search
Conclusions and future work
Europeanasounds.eu

3. Europeana Digital Service Infrastructure
The Platform for Europe’s Digital Cultural Heritage
Aggregates metadata:
From all EU countries
~3,500 galleries, libraries, archives and museums
More than 52M objects
In about 50 languages
Huge amount of references to places, agents, concepts, time
Source: [Manguinhas et al. 1]

4. Europeana Digital Service Infrastructure
Free text search: piano concerto (of austrian composers?)

5. Europeana Digital Service Infrastructure
Free text search: Klavierkonzert (von österreichische Komponist?)

6. Query: Piano concerto of austrian composers
Semantic search
Query: Piano concerto of austrian composers
Agent: *
Music instrument:
Piano
Music genre:
Concerto
Role:
Composer
Place:
Austria
Europeanasounds.eu

7. Semantic search User Expectations Complete search
„All piano concerts of all/any austrian composer“
User input
in preferred (mother) language
Records in all/any languages
Metadata language vs. content language
Spoken language vs „Technical languages“ (e.g. music notations)
All content types
Text
Image
Audio
Video
Europeanasounds.eu

8. Semantic enrichments Huge effort Automatic processing
Domain Expert Knowledge
User Validation
Domain specific
Thematic collections
Multilingual vocabularies/thesauri
EuSounds
Music instruments
Music genres
Reference: [Manguinhas et al. 2]
Europeanasounds.eu

9. Cultuurlink Semi-automatic Vocabulary Alignment Tool SKOS format
Europeanasounds.eu

10. Cultuurlink Freely available
as an online open service that any user can use
Users have the ability to design and experiment with different alignment strategies
helps the task of discovering new alignments between two vocabularies
Manual control
users can decide which alignments are correct and can assign a specific meaning (e.g. skos:exactMatch, skos:related, skos:broadMatch)
Europeanasounds.eu

11. Experimental Results
The British Library (BL) participated with 3 collections:
A selection of Asian instruments (1,099 records) from the "Colin Huehns Asia Collection"
a selection from the “Peter Cooke Uganda Collection” (1,312 records)
and the “Keith Summers English Folk Music Collection” (1,326 records)
The Centre de Recherche en Ethnomusicologie (CREM)
participated with a test collection of 36 records published in the CD “Musical Instruments of the World”
The Maison Méditerranéenne des Sciences de l'Homme (MMSH)
participated with a collection of 25 records about folk music
The Netherlands Institute of Sound and Vision (NISV)
Reference: [Manguinhas et al. 1]
Europeanasounds.eu

12. Experimental Results
Automatic enrichments using sample EU Sounds datasets
(using categorization metadata)
Source: [Manguinhas et al. 1]

13. Experimental Results Austrian National Library Dataset
1396 records of letters and music scores of classic music composers
References of music instruments are available in title and description only
Music instrument names available in different languages (german, italian/latin, french)
Exact Match 31
Close Match 8
Broad Match 39
Europeanasounds.eu

14. Conclusions & Future Work
Semantic enrichments for Europeana
Targeting Thematic Collections
Infrustructure to support generation and acquisition
Europeana Entity Collection
Preliminary experiments
Small scale
High precision enrichments
Future work
Validation through crowdsourcing
Scalability to all Europeana Sounds dataset ( )
Music genres tagging
Europeanasounds.eu

15. AIT Austrian Institute of Technology
your ingenious partner
Thank you!
Sergiu Gordea

16. References
[Manguinhas et al. 1] Hugo Manguinhas, Valentine Charles, Antoine Isaac, Tom Miles, Aude Lima, Ariane Néroulidis, Véronique Ginouvès, Dimitra Atsidis, Maarten Brinkerink, Michiel Hildebrand, Sergiu Gordea: Linking subject labels in Cultural Heritage Metadata to MIMO vocabulary using CultuurLink, NKOS 2016, Hannover
[Manguinhas et al 2] Hugo Manguinhas, Sergiu Gordea, Antoine Isaac, Alessio Piccioli, Giulio Andreini, Francesca Di Donato, Remy Gardien, Maarten Brinkerink: Challenges on modeling annotations in the Europeana Sounds project, iAnnotate 2016, Berlin