Presentation on how the Eduorpeana Data Model is used and extended in the Europeana and DM2E projects. Made for the Semantic Media Web innovation day, Berlin, Sept 27, 2013: http://semantic-media-web.de/innovationsforum/metadaten/

1. Data modelling at Europeana and DM2E
Building and using networks of metadata vocabularies
Antoine Isaac - Stefan Gradmann
Europeana- KU Leuven
Semantic Media Web, Berlin, Sept. 27, 2013

2. Europeana.eu, Europe’s cultural heritage portal
Museums
National Aggregators
Regional Aggregators
Archives
Thematic collections
Libraries
29M objects from 2,200 European galleries, museums, archives and libraries

3. Europeana.eu, Europe’s cultural heritage portal
Text
Image
Video
Sound
3D

4. Europeana Data Model: a Collaborative Effort
Cross-community development
 Involving library, archive and museum experts
 Ca. 60 participants
http://pro.europeana.eu/edm-documentation

5. EDM: an example

6. Provided Cultural Heritage Object (CHO)
and descriptive metadata

7. Web Resources – digital representations

8. Contextual Resources – Places

9. EDM is based on existing ontologies
 OAI-ORE (Open Archives Initiative Object Reuse & Exchange):
organizing an object’s metadata and digital representation(s)
 Dublin Core : descriptive metadata
 SKOS (Simple Knowledge Organization System) : conceptual
vocabulary representation
 CIDOC-CRM : event and relationships between objects

10. Allowing different semantic grains
The theory:
 Providers provide data close to original models
 Using mappings to more interoperable level
statement at generic level
statement at specific level

11. Different semantic grains
 EDM uses specialization of
classes and properties.
 It will enable the definition of
extensions, “applications
profiles” answering to the need
of specific communities.

12. A Collaborative Effort (2)
EDM makes Europeana ready to ingest metadata that is closer to specific
community concerns
 But still mapped to common elements
Europeana & partners can develop EDM “profiles” upon which everyone
could build specific functionality
 Based on best practices from sector or domain level

13. Disclaimer: coming slides adapted from a presentation by Steffen Hennicke
Berlin School of Library and Information Science
steffen.hennicke@staff.hu-berlin.de

14. Digitised Manuscripts to Europeana
• EU project (2012-2015),
• Germany, Austria, Norway, Greece, UK, France, Italy
• DM2E works on
– tool for data migration to Europeana and Linked Data (OMNOM)
– research environment for the Digital Humanities (PUNDIT)
– community of cultural heritage professionals (OPENGLAM)
http://dm2e.eu/

15. Content
Islamic Scientific ManuscriptIslamic Scientific Manuscript
Initiative (MPWIG)Initiative (MPWIG)
Nietzsche Source –Nietzsche Source – DigitaleDigitale
Faksimile GesamtausgabeFaksimile Gesamtausgabe
(CRNS)(CRNS)
American Joint DistributionAmerican Joint Distribution
ComiteeComitee (EAJC)(EAJC)
Codices andCodices and
Complutensische PolyglotteComplutensische Polyglotte
(ONB)(ONB)
118.000+ items with118.000+ items with
20.006.930+ pages20.006.930+ pages
Wittgenstein Source (UiB)Wittgenstein Source (UiB)

16. DM2E Data Model
• Semantically and structurally heterogeneous data
– Complex hierarchies (EAD, METS)
– Object data and transcriptions (TEI)
– MARCXML, MAB2, etc.
• DM2E’s Data Model specializes EDM for the domain of
handwritten manuscripts

17. Specialization of EDM in DM2E - Example

18. Reuse of Existing Ontologies in DM2E
• Types, roles and relations between agents
– Friend-of-a-Friend (FOAF) : types of agents)
– Publishing Roles Ontology (PRO) : roles of agents in the
publication process
– VIVO : types of agents
• Detailed semantics on bibliographic entities
– FRBR-aligned Bibliographic Ontology (FaBiO)
– Citation Typing Ontology (CiTO)
– Bibliographic Ontology (BIBO)

19. Guidelines for Specialising EDM
• Empirical analysis of source metadata
• Iterative mappings to the EDM
• Close cooperation with data providers for feedback and
revisions
• Create new classes or properties only if there is no other
suitable option available from existing ontologies

20. Thank you
Antoine Isaac , Stefan Gradmann
aisaac@few.vu.nl , stefan.gradmann@kuleuven.be