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Linking cultural heritage with KOS
the Europeana example
Valentine Charles
Evolution and variation of classification systems – KnoweScape, Amsterdam,
05.03.2015
Context
à  Aggregates metadata from the cultural heritage sector in
Europe
•  Libraries, museums, archives and audio-visual archives
•  Metadata in 33 languages
à  Provides a portal for users to access data and objects
•  http://www.europeana.eu/ in 31 languages
•  Metadata under Creative Commons Zero - public domain
•  Previews and links to source
à  Data distributed via
•  API http://labs.europeana.eu/api/
•  Linked Data (currently being updated) http://data.europeana.eu/
Europeana.eu, Europe’s cultural heritage portal
40M objects from 2,200 galleries, museums, archives and libraries
Create a new data framework for richer
metadata
à  Europeana Data Model (EDM)
•  Re-uses several existing Semantic Web-based models: Dublin
Core, OAI-ORE, SKOS, CIDOC-CRM…
•  More granular metadata
•  links e.g. between objects and context entities (persons, places)
•  multilingual & semantic linked data for contextual resources (e.g.
Concepts)
à  EDM gives support for contextual resources (semantic layer)
Rely on KOS to solve a problem of data
integration
à Create a “semantic layer” on top of connected cultural
heritage objects
•  Include multilingual “value vocabularies”
•  From Europeana’s providers or from third-party data sources
Contextual entities
Representing (real-world) entities related to a provided object
as fully fledged resources, not just strings
edm:Agent
foaf:name
skos:altLabel
rdaGr2:biographicalInformation
rdaGr2:dateOfBirth
skos:Concept
skos:prefLabel
skos:altLabel
skos:broader
skos:related
skos:definition….
edm:TimeSpan
skos:prefLabel
dcterms:isPartOf
edm:begin
edm:end
….
edm:Place
wgs84_pos:lat
wgs84_pos:long
skos:prefLabel
skos:note
dcterms:isPartOf….
Encourage data providers to contribute their
own vocabularies
à Benefit from data links made at data providers’ level
à Ingestion of vocabularies is made possible if the vocabularies used
the data structures EDM expects
•  For instance SKOS for concept
à  For other vocabularies, Europeana does custom mappings
An example the integration of AAT URIs in EDM
hourglasses@en uurglazen@nl
reloj de las
horas@es
http://vocab.getty.edu/aat/300206197
edm:ProvidedCHO
Hourglass
urn:imss:instrument:401058
skos:Concept	
  
http://vocab.getty.edu/
aat/300198626
skos:prefLabel
skos:prefLabel
skos:prefLabel
skos:broader
dc:type
Demo with AAT and PartagePlus vocabularies
à http://www.europeana.eu/portal/search.html?
query=sabliers&rows=24&qf=PROVIDER%3A%22Museo+Galileo+-
+Istituto+e+Museo+di+Storia+della+Scienza%22&qt=false
à  http://www.europeana.eu/portal/search.html?
query=Brooch&rows=24&qf=PROVIDER%3A%22Partage+Plus
%22&qt=false
Vocabularies currently supported by
Europeana
Challenge #1
à Europeana needs to regularly check that vocabularies have not
changed at source:
•  Changes in concepts’ identifiers
•  Changes in the description of concepts (which would require a new
mapping)
Challenge #2
à  Some of the vocabularies supported by Europeana have
been developed by projects
•  Issue of sustainability who maintains the vocabulary when the
project ends? What happens to the data?
Europeana also manages its own vocabulary–
WWI example
à  Europeana developed a series of domain specific “sub-sites”
à  Europeana 1914-1918 (http://www.europeana1914-1918.eu/ )
developed its own vocabulary based on a subset of LCSH
•  Terms translated in 10 languages and linked to id.loc.gov
•  Published in SKOS via the OpenSkos vocabulary service
http://data.europeana.eu/concept/loc/sh85148236
Challenge #3
à  Creation of caches of existing LOD vocabularies
•  Europeana needs to keep track of the updates at the vocabulary
provider side.
à  The enrichment done on the Europeana side lives separately
from the source vocabulary.
Multilingual Access to Subjects (MACS)
à  MACS project has produced manual and semi automatic
alignments between:
•  Library of Congress Subject Heading (LCSH)
•  RAMEAU
•  Schlagwortnormdatei (SWD)
è 120,000 links created
à  MACS is integrated in The European Library as links
included in all bibliographic data.
An example of a MACS
record before and after
additions by The
European Library :
-  ARK identifiers
-  LOD URIs
Enrichments
added through
MACS
The subject enriched
record in EDM for delivery
to Europeana
Automatic enrichment based on KOS
Goal: Contextualization which goes beyond
the scope of a particular platform
Object External Dataset
and Vocabulary
Automatic enrichment process in Europeana
•  Metadata
fields in
resource
descriptions
•  Selection of
potential rules
to match
•  Matching the
values of the
metadata fields
to values of the
contextual
resources
•  Adding
contextual links
•  Selecting the
values from the
contextual
resource
•  Augmentation of
the index with the
labels picked from
the vocabulary
Analysis
Linking
Augmentation
Vocabularies selection requirements
In the context of Europeana a target vocabulary should be:
à  Technically available (through Linked Data or in dedicated
repositories), properly documented, and in open access;
à  well-connected together, e.g. equivalent elements in other
vocabularies are indicated;
•  Key to avoid duplication and redundancy
à  Multilingual
Enrichment Types and Vocabularies
Enrichment Type Target vocabulary Source metadata fields
Places GeoNames dcterms:spatial,
dc:coverage
Concepts GEMET, DBpedia, dc:subject, dc:type
Agents DBpedia dc:creator, dc:contributor
Time Semium Time dc:date, dc:coverage,
dcterms:temporal,
edm:year
Europeana enrichment- an example
Challenge #4
à  A significant change change in the target vocabulary implies
•  an update of the retrieved RDF files and a new deployment of
the enrichment framework (and/or)
•  An update of the enrichment rules
Challenge #5
à  Europeana data providers might also perform enrichment on
their side
à  Europeana has currently no mecanism to separate the
(curated) links to contextual resources by data providers from
(automatic) enrichments by providers.
Challenge #6
à  Automatic enrichment has flaws and problems
•  For instance linking any print to the physical “pressure” concept
because of its German “Druck” alternative label.
à Incorrect enrichments lead to
•  Devaluation of curated metadata
•  Loss of trust from providers
•  Irrelevant search results
•  Bad user experiences
To conclude
à  Europeana continues to focus on pivot vocabularies such as
Wikidata, Agrovoc to improve its search and retrieval
services.
à  We now investigates how to use more domains specific
vocabularies for dedicated services.
à  We also work on the definitions of best practices and
evaluation methods for enrichment
•  http://pro.europeana.eu/get-involved/europeana-tech/
europeanatech-task-forces/evaluation-and-enrichments
Thank you
Valentine Charles
valentine.charles@europeana.eu
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Valentine Charles: Linking cultural heritage with KOS: the Europeana example

  • 1. Linking cultural heritage with KOS the Europeana example Valentine Charles Evolution and variation of classification systems – KnoweScape, Amsterdam, 05.03.2015
  • 2. Context à  Aggregates metadata from the cultural heritage sector in Europe •  Libraries, museums, archives and audio-visual archives •  Metadata in 33 languages à  Provides a portal for users to access data and objects •  http://www.europeana.eu/ in 31 languages •  Metadata under Creative Commons Zero - public domain •  Previews and links to source à  Data distributed via •  API http://labs.europeana.eu/api/ •  Linked Data (currently being updated) http://data.europeana.eu/
  • 3. Europeana.eu, Europe’s cultural heritage portal 40M objects from 2,200 galleries, museums, archives and libraries
  • 4. Create a new data framework for richer metadata à  Europeana Data Model (EDM) •  Re-uses several existing Semantic Web-based models: Dublin Core, OAI-ORE, SKOS, CIDOC-CRM… •  More granular metadata •  links e.g. between objects and context entities (persons, places) •  multilingual & semantic linked data for contextual resources (e.g. Concepts) à  EDM gives support for contextual resources (semantic layer)
  • 5. Rely on KOS to solve a problem of data integration à Create a “semantic layer” on top of connected cultural heritage objects •  Include multilingual “value vocabularies” •  From Europeana’s providers or from third-party data sources
  • 6. Contextual entities Representing (real-world) entities related to a provided object as fully fledged resources, not just strings edm:Agent foaf:name skos:altLabel rdaGr2:biographicalInformation rdaGr2:dateOfBirth skos:Concept skos:prefLabel skos:altLabel skos:broader skos:related skos:definition…. edm:TimeSpan skos:prefLabel dcterms:isPartOf edm:begin edm:end …. edm:Place wgs84_pos:lat wgs84_pos:long skos:prefLabel skos:note dcterms:isPartOf….
  • 7. Encourage data providers to contribute their own vocabularies à Benefit from data links made at data providers’ level à Ingestion of vocabularies is made possible if the vocabularies used the data structures EDM expects •  For instance SKOS for concept à  For other vocabularies, Europeana does custom mappings
  • 8.
  • 9. An example the integration of AAT URIs in EDM hourglasses@en uurglazen@nl reloj de las horas@es http://vocab.getty.edu/aat/300206197 edm:ProvidedCHO Hourglass urn:imss:instrument:401058 skos:Concept   http://vocab.getty.edu/ aat/300198626 skos:prefLabel skos:prefLabel skos:prefLabel skos:broader dc:type
  • 10.
  • 11. Demo with AAT and PartagePlus vocabularies à http://www.europeana.eu/portal/search.html? query=sabliers&rows=24&qf=PROVIDER%3A%22Museo+Galileo+- +Istituto+e+Museo+di+Storia+della+Scienza%22&qt=false à  http://www.europeana.eu/portal/search.html? query=Brooch&rows=24&qf=PROVIDER%3A%22Partage+Plus %22&qt=false
  • 13. Challenge #1 à Europeana needs to regularly check that vocabularies have not changed at source: •  Changes in concepts’ identifiers •  Changes in the description of concepts (which would require a new mapping)
  • 14. Challenge #2 à  Some of the vocabularies supported by Europeana have been developed by projects •  Issue of sustainability who maintains the vocabulary when the project ends? What happens to the data?
  • 15. Europeana also manages its own vocabulary– WWI example à  Europeana developed a series of domain specific “sub-sites” à  Europeana 1914-1918 (http://www.europeana1914-1918.eu/ ) developed its own vocabulary based on a subset of LCSH •  Terms translated in 10 languages and linked to id.loc.gov •  Published in SKOS via the OpenSkos vocabulary service
  • 16.
  • 18. Challenge #3 à  Creation of caches of existing LOD vocabularies •  Europeana needs to keep track of the updates at the vocabulary provider side. à  The enrichment done on the Europeana side lives separately from the source vocabulary.
  • 19. Multilingual Access to Subjects (MACS) à  MACS project has produced manual and semi automatic alignments between: •  Library of Congress Subject Heading (LCSH) •  RAMEAU •  Schlagwortnormdatei (SWD) è 120,000 links created à  MACS is integrated in The European Library as links included in all bibliographic data.
  • 20. An example of a MACS record before and after additions by The European Library : -  ARK identifiers -  LOD URIs
  • 21. Enrichments added through MACS The subject enriched record in EDM for delivery to Europeana
  • 22. Automatic enrichment based on KOS Goal: Contextualization which goes beyond the scope of a particular platform Object External Dataset and Vocabulary
  • 23. Automatic enrichment process in Europeana •  Metadata fields in resource descriptions •  Selection of potential rules to match •  Matching the values of the metadata fields to values of the contextual resources •  Adding contextual links •  Selecting the values from the contextual resource •  Augmentation of the index with the labels picked from the vocabulary Analysis Linking Augmentation
  • 24. Vocabularies selection requirements In the context of Europeana a target vocabulary should be: à  Technically available (through Linked Data or in dedicated repositories), properly documented, and in open access; à  well-connected together, e.g. equivalent elements in other vocabularies are indicated; •  Key to avoid duplication and redundancy à  Multilingual
  • 25. Enrichment Types and Vocabularies Enrichment Type Target vocabulary Source metadata fields Places GeoNames dcterms:spatial, dc:coverage Concepts GEMET, DBpedia, dc:subject, dc:type Agents DBpedia dc:creator, dc:contributor Time Semium Time dc:date, dc:coverage, dcterms:temporal, edm:year
  • 27. Challenge #4 à  A significant change change in the target vocabulary implies •  an update of the retrieved RDF files and a new deployment of the enrichment framework (and/or) •  An update of the enrichment rules
  • 28. Challenge #5 à  Europeana data providers might also perform enrichment on their side à  Europeana has currently no mecanism to separate the (curated) links to contextual resources by data providers from (automatic) enrichments by providers.
  • 29. Challenge #6 à  Automatic enrichment has flaws and problems •  For instance linking any print to the physical “pressure” concept because of its German “Druck” alternative label. à Incorrect enrichments lead to •  Devaluation of curated metadata •  Loss of trust from providers •  Irrelevant search results •  Bad user experiences
  • 30. To conclude à  Europeana continues to focus on pivot vocabularies such as Wikidata, Agrovoc to improve its search and retrieval services. à  We now investigates how to use more domains specific vocabularies for dedicated services. à  We also work on the definitions of best practices and evaluation methods for enrichment •  http://pro.europeana.eu/get-involved/europeana-tech/ europeanatech-task-forces/evaluation-and-enrichments
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