SlideShare une entreprise Scribd logo
1  sur  26
The Rijksmuseum Collection
as Linked Data
Chris Dijkshoorn , Lora Aroyo,
Jacco van Ossenbruggen,
Guus Schreiber, Wesley ter Weele,
Jan Wielemaker
Lizzy Jongma
http://www.semantic-web-journal.net/content/rijksmuseum-collection-linked-data-2
@laroyo
@LizzyJongma
@rasvaan
Open up data silos
‣ Improve reusability data
‣ Support integration collections
‣ Identifiers for things
‣ Cross-referencing
‣ Lins across collections
‣ Shared views & context of objects
‣ Data models for interoperability


Researchers & Collection Managers
using it for deep analysis of
objects and collections as a whole
Linked Data in
Cultural Heritage
Collection
‣ Collection of ~1,000,000 objects
‣ Artworks on display ~8.000
‣ Dutch Masters like Rembrandt

Online Collection
‣ Accessible through API
‣ 597,193 object records
‣ 207,441 works have CC0 image
Images are released in the public
domain for users & developers
https://www.rijksmuseum.nl/en/api
Rijksmuseum Amsterdam
Professional catalogers and
photographers
‣ Register artworks
‣ Provide annotations
‣ Digitise artworks
‣ Publish them online

~40,000 new object records a year
time consuming & costly
endeavour
Versioning of data
Digitisation projects
Collection Management System
Rijksmuseum
Content Management
System 597 fields
Rijksmuseum
Collection Data
597,193 objects
Rijksmuseum
API
XSLT
exporting
XML
XML
identifying
fields
Data from collection management is harvested daily &
loaded in a database serving the website
Website
Website 245 fields
Website Data
597,193 objects
Rijksmuseum
Content Management
System 597 fields
Rijksmuseum
Collection Data
597,193 objects
Rijksmuseum Regular user
daily
JSONrequest
API
JSON
export
XSLT
exporting
XML
Only CC0
Developer
API
XSLT
exporting
XML
XML
identifying
fields
• A subset of 245 metadata fields (597 in total) are included in the output
of collection management
• Fields no longer used or contain sensitive data, e.g. insurance values
are excluded
• The selected fields are transformed to form field names which better
reflect their content, omit empty values and generate links to other
databases maintained by the Rijksmuseum (XSLT)
Conversion to Linked Data
Website 245 fields
Website Data
597,193 objects
Rijksmuseum
Content Management
System 597 fields
Rijksmuseum
Collection Data
597,193 objects
Rijksmuseum Regular user
daily
JSONrequest
request
API
JSON
export
XSLT
exporting
XML
Only CC0
Developer
Triple Store 15 fields
Researcher
RDF EDM
15 fields
API
XSLT
exporting
XML
XML
identifying
fields
Rijksmuseum
Linked Data
351,814 objects
Relevant metadata fields of a collection object are
mapped to the Europeana Data Model that most
closely resembles the values of the field.
The output of the API is used to obtain a complete
harvest of the data, which is in turn loaded into a
triple store (run on a monthly basis with links to
downloads of older versioned datadumps)
Conversion to Linked Data
Website 245 fields
Website Data
597,193 objects
Rijksmuseum
Content Management
System 597 fields
Rijksmuseum
Collection Data
597,193 objects
Rijksmuseum Regular user
daily
JSONrequest
request
API
JSON
export
XSLT
exporting
XML
Only CC0
Developer
Triple Store 15 fields
Researcher
RDF EDM
15 fields
API
XSLT
exporting
XML
XML
identifying
fields
Rijksmuseum
Linked Data
351,814 objects
modelling the complete collection &
integrating it with other collections from
other institutions required the ability to
model different (potentially conflicting)
metadata records from different sources
describing the same artwork
Europeana Data Model
ProvidedCHO
SK-A-3276
"Jeremiah Lamenting the
Destruction of Jerusalem"@en
"Rembrandt
Harmensz.
van Rijn"
title
aggregated
CHO
creator
aggregation
COL.5242
Agent
PEOPLE.5706
isShownBy
pref
Label
"Rijksmuseum"
data
Provider
WebResource
The Rijksmuseum dataset was one of the first entries in the Europeana Thought Lab
Images converted to comply with the VRA data model, 46K
The data model is designed with reuse of existing classes and properties in mind. It includes
elements from the Dublin Core metadata initiative and the Object Reuse and Exchange
definition of the Open Archives Initiative.
three core classes:
• edm:ProvidedCHO for
cultural heritage objects
• edm:WebResource for
web resources
• ore:Aggregation for
aggregations of
resources
properties:
• dc:creator
• dc:title
• dc:format
• dc:subject
Iconclass
‣ Concepts about subjects,

themes and motifs in Western art
‣ Links artworks to subject

Art & Architecture Thesaurus (AAT)
‣ Concepts about art styles,

materials and agents
‣ Links artworks to type and format
Short-Title catalogue Netherlands
(STCN)
‣ retrospective national bibliography of the
Netherlands maintained by the National
Library of the Netherlands.
‣ books that are the source of objects in the
print collection of the Rijksmuseum
Links to external datasets
Links to external datasets
"Rijksmuseum"
ProvidedCHO
SK-A-3276
Concept
71O77
"Jeremiah Lamenting the
Destruction of Jerusalem"@en
prefLabel
"Jeremiah lamenting over the
destruction of Jerusalem"@en
broader
Concept
300015050
prefLabel
concept
1000014078-en
"Rembrandt Harmensz. van Rijn"
Vocabularies
title
aggregated
CHO
creator
aggregation
COL.5242
Agent
PEOPLE.5706
isShownBy
format
Concept
71
prefLabel
"Old
Testament"@en
prefLabel
term
"oil paint"@en
dataProvider
WebResource
subject
Dataset
stats
22,846,996 triples
describing 351,814 objects
207,441 with graphical depiction
Ten sub-collections are maintained:
• sculptures (29,782 objects)
• historical items (19,936 objects)
• paintings (3,949 objects)
• Asian art (3,722 objects)
• prints, drawings & photos (280,047 objects)
Frequency distributions of the top 50 concepts of
AAT & Iconclass in Rijksmuseum collection
A small subset of concepts is often used:
• 305 distinct formats
• 124 distinct types
• prints (183,916)
• stereoscopic photographs (3,480)
• plates (1,617)
• art styles are often debatable
Many concepts are often used (ave ~ 27 times):
• 39,578 concepts in the vocabulary
• 10,434 are used to add information to an object
• 351,814 collection objects
• 172,059 have one or more Iconclass annotations
Focus on art-historical
information
Occasional lack of expertise
regarding subject matter
annotations
This print is described as:
‣ “Bird with blue head”
‣ “Branch with red leaves”

Annotating Artworks
Create links using
Accurator annotation tool

http://annotation.accurator.nl/


Organise annotation events
‣ Bird watching event
‣ Fashion event
Experts are adding
information
Publishing data widens the type
of users involved
Engage in a dialogue
‣ What information is needed?
‣ Which vocabularies to use?
‣ Which fields can be used to 

describe the objects?
Dialogue about data
Engagement with Collection
Gathering User Semantics
Unleashed Creativity
Digital Humanities Research
Many prints originate from books
‣ References to these books are added as

curators comments


Short-Title catalogue Netherlands
‣ Retrospective national bibliography in

the period 1540-1800
‣ Includes 139,817 publications

Linking books to prints
‣ Scan for curator comments containing 

Title, Author and Year
‣ 3598 links from prints to 501
publications
Linking to the National Library
Opportunities for integration - Rijksmuseum Website
Print
Kono Bairei
Opportunities for integration: Naturalis - Dutch Species
Opportunities for Semantic Search
All at once

monthly datadumps

https://datahub.io/dataset/rijksmuseum
Request based

OAI API

https://www.rijksmuseum.nl/en/api/
rijksmuseum-oai-api-instructions-for-use
Queries

SPARQL Endpoint

https://datahub.io/dataset/rijksmuseum
How to use the data
The Rijksmuseum Collection
as Linked Data
http://www.semantic-web-journal.net/content/rijksmuseum-collection-linked-data-2
Chris Dijkshoorn , Lora Aroyo,
Jacco van Ossenbruggen,
Guus Schreiber, Wesley ter Weele,
Jan Wielemaker
Lizzy Jongma
@laroyo
@LizzyJongma
@rasvaan

Contenu connexe

Tendances

The Art Museum in the Digital Age - Introduction Rijksmuseum
The Art Museum in the Digital Age - Introduction RijksmuseumThe Art Museum in the Digital Age - Introduction Rijksmuseum
The Art Museum in the Digital Age - Introduction RijksmuseumSaskia Scheltjens
 
ARACHNE at the German Archaeological Institute (DAI)
ARACHNE at the German Archaeological Institute (DAI)ARACHNE at the German Archaeological Institute (DAI)
ARACHNE at the German Archaeological Institute (DAI)ariadnenetwork
 
ADEQUATe and CommuniData
ADEQUATe and CommuniDataADEQUATe and CommuniData
ADEQUATe and CommuniDataStadt Wien
 
Multimodal Perspectives for Digitised Historical Newspapers
Multimodal Perspectives for Digitised Historical NewspapersMultimodal Perspectives for Digitised Historical Newspapers
Multimodal Perspectives for Digitised Historical Newspaperscneudecker
 
What's up, Europeana Newspapers?
What's up, Europeana Newspapers?What's up, Europeana Newspapers?
What's up, Europeana Newspapers?cneudecker
 
A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...
A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...
A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...Matthias Arnold
 
Making document search system slightly friendlier to the power user
Making document search system slightly friendlier to the power userMaking document search system slightly friendlier to the power user
Making document search system slightly friendlier to the power userMichał Łopuszyński
 
Archiving Of Electronic Publishing
Archiving Of Electronic PublishingArchiving Of Electronic Publishing
Archiving Of Electronic Publishingannegrete
 
Magnus Bognerud - Current digital collection management projects at nasjonalm...
Magnus Bognerud - Current digital collection management projects at nasjonalm...Magnus Bognerud - Current digital collection management projects at nasjonalm...
Magnus Bognerud - Current digital collection management projects at nasjonalm...lab_SNG
 
Text Mining in Cultural Heritage: Challenges
Text Mining in Cultural Heritage: ChallengesText Mining in Cultural Heritage: Challenges
Text Mining in Cultural Heritage: ChallengesMax Kaiser
 
2018 03-03 culture hack-bucharest-marco streefkerk
2018 03-03 culture hack-bucharest-marco streefkerk2018 03-03 culture hack-bucharest-marco streefkerk
2018 03-03 culture hack-bucharest-marco streefkerkMarco Streefkerk
 
The IGeLU Linked Open Data Special Interest Working Group
The IGeLU Linked Open Data Special Interest Working GroupThe IGeLU Linked Open Data Special Interest Working Group
The IGeLU Linked Open Data Special Interest Working GroupLukas Koster
 
Integration and Exploration of Financial Data using Semantics and Ontologies
Integration and Exploration of Financial Data using Semantics and OntologiesIntegration and Exploration of Financial Data using Semantics and Ontologies
Integration and Exploration of Financial Data using Semantics and OntologiesRoberto García
 
Austrian National Library - Current initiatives, projects and the library’s V...
Austrian National Library - Current initiatives, projects and the library’s V...Austrian National Library - Current initiatives, projects and the library’s V...
Austrian National Library - Current initiatives, projects and the library’s V...Max Kaiser
 
Europeana Newspapers in a Nutshell
Europeana Newspapers in a NutshellEuropeana Newspapers in a Nutshell
Europeana Newspapers in a Nutshellcneudecker
 
Europeana Newspapers Aggregator Forum 2018 Berlin
Europeana Newspapers Aggregator Forum 2018 BerlinEuropeana Newspapers Aggregator Forum 2018 Berlin
Europeana Newspapers Aggregator Forum 2018 Berlincneudecker
 
BHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainer
BHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainerBHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainer
BHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainerHeimo Rainer
 

Tendances (20)

Archiving News on the Web
Archiving News on the WebArchiving News on the Web
Archiving News on the Web
 
The Art Museum in the Digital Age - Introduction Rijksmuseum
The Art Museum in the Digital Age - Introduction RijksmuseumThe Art Museum in the Digital Age - Introduction Rijksmuseum
The Art Museum in the Digital Age - Introduction Rijksmuseum
 
ARACHNE at the German Archaeological Institute (DAI)
ARACHNE at the German Archaeological Institute (DAI)ARACHNE at the German Archaeological Institute (DAI)
ARACHNE at the German Archaeological Institute (DAI)
 
ADEQUATe and CommuniData
ADEQUATe and CommuniDataADEQUATe and CommuniData
ADEQUATe and CommuniData
 
Multimodal Perspectives for Digitised Historical Newspapers
Multimodal Perspectives for Digitised Historical NewspapersMultimodal Perspectives for Digitised Historical Newspapers
Multimodal Perspectives for Digitised Historical Newspapers
 
What's up, Europeana Newspapers?
What's up, Europeana Newspapers?What's up, Europeana Newspapers?
What's up, Europeana Newspapers?
 
Cidoc2018 panel navarrete
Cidoc2018 panel navarreteCidoc2018 panel navarrete
Cidoc2018 panel navarrete
 
A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...
A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...
A Corpus of Chinese Comic Books: Database, Metadata, and Visual Object Recogn...
 
Making document search system slightly friendlier to the power user
Making document search system slightly friendlier to the power userMaking document search system slightly friendlier to the power user
Making document search system slightly friendlier to the power user
 
Archiving Of Electronic Publishing
Archiving Of Electronic PublishingArchiving Of Electronic Publishing
Archiving Of Electronic Publishing
 
Magnus Bognerud - Current digital collection management projects at nasjonalm...
Magnus Bognerud - Current digital collection management projects at nasjonalm...Magnus Bognerud - Current digital collection management projects at nasjonalm...
Magnus Bognerud - Current digital collection management projects at nasjonalm...
 
Text Mining in Cultural Heritage: Challenges
Text Mining in Cultural Heritage: ChallengesText Mining in Cultural Heritage: Challenges
Text Mining in Cultural Heritage: Challenges
 
2018 03-03 culture hack-bucharest-marco streefkerk
2018 03-03 culture hack-bucharest-marco streefkerk2018 03-03 culture hack-bucharest-marco streefkerk
2018 03-03 culture hack-bucharest-marco streefkerk
 
The IGeLU Linked Open Data Special Interest Working Group
The IGeLU Linked Open Data Special Interest Working GroupThe IGeLU Linked Open Data Special Interest Working Group
The IGeLU Linked Open Data Special Interest Working Group
 
Integration and Exploration of Financial Data using Semantics and Ontologies
Integration and Exploration of Financial Data using Semantics and OntologiesIntegration and Exploration of Financial Data using Semantics and Ontologies
Integration and Exploration of Financial Data using Semantics and Ontologies
 
About company
About companyAbout company
About company
 
Austrian National Library - Current initiatives, projects and the library’s V...
Austrian National Library - Current initiatives, projects and the library’s V...Austrian National Library - Current initiatives, projects and the library’s V...
Austrian National Library - Current initiatives, projects and the library’s V...
 
Europeana Newspapers in a Nutshell
Europeana Newspapers in a NutshellEuropeana Newspapers in a Nutshell
Europeana Newspapers in a Nutshell
 
Europeana Newspapers Aggregator Forum 2018 Berlin
Europeana Newspapers Aggregator Forum 2018 BerlinEuropeana Newspapers Aggregator Forum 2018 Berlin
Europeana Newspapers Aggregator Forum 2018 Berlin
 
BHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainer
BHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainerBHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainer
BHL-Europe_metadata_harmonisation_TDWG_20111018_kollerw_hrainer
 

Similaire à Rijksmuseum Linked Data Improves Access

Tanya Szrajber, The British Museum Collection Database
Tanya Szrajber, The British Museum Collection DatabaseTanya Szrajber, The British Museum Collection Database
Tanya Szrajber, The British Museum Collection DatabaseAndrew Prescott
 
Consolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research ServicesConsolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research ServicesSaskia Scheltjens
 
Consolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research Services Consolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research Services PACKED vzw
 
The Europeana Data Model - TPDL2018
The Europeana Data Model - TPDL2018The Europeana Data Model - TPDL2018
The Europeana Data Model - TPDL2018Antoine Isaac
 
Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...
Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...
Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...ariadnenetwork
 
Digital archaeology and museums
Digital archaeology and museumsDigital archaeology and museums
Digital archaeology and museumsdejp3
 
ICT.Open Clustering Cultural Heritage Objects Using Linked Data
ICT.Open Clustering Cultural Heritage Objects Using Linked DataICT.Open Clustering Cultural Heritage Objects Using Linked Data
ICT.Open Clustering Cultural Heritage Objects Using Linked DataChris Dijkshoorn
 
Europeana and linked cultural heritage data
Europeana and linked cultural heritage dataEuropeana and linked cultural heritage data
Europeana and linked cultural heritage dataEuropeanaConnect
 
A Framework for Improved Access to Museum Databases in the Semantic Web
A Framework for Improved Access to Museum Databases in the Semantic WebA Framework for Improved Access to Museum Databases in the Semantic Web
A Framework for Improved Access to Museum Databases in the Semantic WebMariana Damova, Ph.D
 
Accurator: Acquisition of Qualitative Annotations from Niche Communities
Accurator: Acquisition of Qualitative Annotations from Niche CommunitiesAccurator: Acquisition of Qualitative Annotations from Niche Communities
Accurator: Acquisition of Qualitative Annotations from Niche CommunitiesChris Dijkshoorn
 
Open Culture - How Wiki loves art and data - Packed
 Open Culture - How Wiki loves art and data - Packed Open Culture - How Wiki loves art and data - Packed
Open Culture - How Wiki loves art and data - PackedOpen Knowledge Belgium
 
Linked Open Data Publications through Wikidata & Persistent Identification...
Linked Open Data  Publications through  Wikidata &  Persistent Identification...Linked Open Data  Publications through  Wikidata &  Persistent Identification...
Linked Open Data Publications through Wikidata & Persistent Identification...PACKED vzw
 
Linked Open Data Publications through Wikidata & Persistent Identification in...
Linked Open Data Publications through Wikidata & Persistent Identification in...Linked Open Data Publications through Wikidata & Persistent Identification in...
Linked Open Data Publications through Wikidata & Persistent Identification in...meemoo, Vlaams instituut voor het archief
 
Managing the Digitization of Large Press Archives
Managing the Digitization of Large Press ArchivesManaging the Digitization of Large Press Archives
Managing the Digitization of Large Press ArchivesDLFCLIR
 
Opening up the National Gallery’s Collection Information
Opening up the National Gallery’s Collection InformationOpening up the National Gallery’s Collection Information
Opening up the National Gallery’s Collection InformationMuseums Computer Group
 
Using Linked Data to diversify search results: a case study in cultural heritage
Using Linked Data to diversify search results: a case study in cultural heritageUsing Linked Data to diversify search results: a case study in cultural heritage
Using Linked Data to diversify search results: a case study in cultural heritageChris Dijkshoorn
 
Cultural Heritage Information Dashboards
Cultural Heritage Information DashboardsCultural Heritage Information Dashboards
Cultural Heritage Information DashboardsRichard Urban
 
Estermann wikidata performing-arts-20181109
Estermann wikidata performing-arts-20181109Estermann wikidata performing-arts-20181109
Estermann wikidata performing-arts-20181109Beat Estermann
 

Similaire à Rijksmuseum Linked Data Improves Access (20)

Tanya Szrajber, The British Museum Collection Database
Tanya Szrajber, The British Museum Collection DatabaseTanya Szrajber, The British Museum Collection Database
Tanya Szrajber, The British Museum Collection Database
 
Consolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research ServicesConsolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research Services
 
Consolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research Services Consolidating Openness : Developing Rijksmuseum Research Services
Consolidating Openness : Developing Rijksmuseum Research Services
 
The Europeana Data Model - TPDL2018
The Europeana Data Model - TPDL2018The Europeana Data Model - TPDL2018
The Europeana Data Model - TPDL2018
 
Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...
Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...
Integrating archaeological data: The ARIADNE Infrastructure, Achille Felicett...
 
Digital archaeology and museums
Digital archaeology and museumsDigital archaeology and museums
Digital archaeology and museums
 
ICT.Open Clustering Cultural Heritage Objects Using Linked Data
ICT.Open Clustering Cultural Heritage Objects Using Linked DataICT.Open Clustering Cultural Heritage Objects Using Linked Data
ICT.Open Clustering Cultural Heritage Objects Using Linked Data
 
Europeana and linked cultural heritage data
Europeana and linked cultural heritage dataEuropeana and linked cultural heritage data
Europeana and linked cultural heritage data
 
Keynote csws2013
Keynote csws2013Keynote csws2013
Keynote csws2013
 
A Framework for Improved Access to Museum Databases in the Semantic Web
A Framework for Improved Access to Museum Databases in the Semantic WebA Framework for Improved Access to Museum Databases in the Semantic Web
A Framework for Improved Access to Museum Databases in the Semantic Web
 
Accurator: Acquisition of Qualitative Annotations from Niche Communities
Accurator: Acquisition of Qualitative Annotations from Niche CommunitiesAccurator: Acquisition of Qualitative Annotations from Niche Communities
Accurator: Acquisition of Qualitative Annotations from Niche Communities
 
Open Culture - How Wiki loves art and data - Packed
 Open Culture - How Wiki loves art and data - Packed Open Culture - How Wiki loves art and data - Packed
Open Culture - How Wiki loves art and data - Packed
 
Linked Open Data Publications through Wikidata & Persistent Identification...
Linked Open Data  Publications through  Wikidata &  Persistent Identification...Linked Open Data  Publications through  Wikidata &  Persistent Identification...
Linked Open Data Publications through Wikidata & Persistent Identification...
 
Linked Open Data Publications through Wikidata & Persistent Identification in...
Linked Open Data Publications through Wikidata & Persistent Identification in...Linked Open Data Publications through Wikidata & Persistent Identification in...
Linked Open Data Publications through Wikidata & Persistent Identification in...
 
Managing the Digitization of Large Press Archives
Managing the Digitization of Large Press ArchivesManaging the Digitization of Large Press Archives
Managing the Digitization of Large Press Archives
 
Opening up the National Gallery’s Collection Information
Opening up the National Gallery’s Collection InformationOpening up the National Gallery’s Collection Information
Opening up the National Gallery’s Collection Information
 
Using Linked Data to diversify search results: a case study in cultural heritage
Using Linked Data to diversify search results: a case study in cultural heritageUsing Linked Data to diversify search results: a case study in cultural heritage
Using Linked Data to diversify search results: a case study in cultural heritage
 
Europeana datainaction nov2012
Europeana datainaction nov2012Europeana datainaction nov2012
Europeana datainaction nov2012
 
Cultural Heritage Information Dashboards
Cultural Heritage Information DashboardsCultural Heritage Information Dashboards
Cultural Heritage Information Dashboards
 
Estermann wikidata performing-arts-20181109
Estermann wikidata performing-arts-20181109Estermann wikidata performing-arts-20181109
Estermann wikidata performing-arts-20181109
 

Plus de Lora Aroyo

NeurIPS2023 Keynote: The Many Faces of Responsible AI.pdf
NeurIPS2023 Keynote: The Many Faces of Responsible AI.pdfNeurIPS2023 Keynote: The Many Faces of Responsible AI.pdf
NeurIPS2023 Keynote: The Many Faces of Responsible AI.pdfLora Aroyo
 
CATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine Learning
CATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine LearningCATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine Learning
CATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine LearningLora Aroyo
 
Harnessing Human Semantics at Scale (updated)
Harnessing Human Semantics at Scale (updated)Harnessing Human Semantics at Scale (updated)
Harnessing Human Semantics at Scale (updated)Lora Aroyo
 
Data excellence: Better data for better AI
Data excellence: Better data for better AIData excellence: Better data for better AI
Data excellence: Better data for better AILora Aroyo
 
CHIP Demonstrator presentation @ CATCH Symposium
CHIP Demonstrator presentation @ CATCH SymposiumCHIP Demonstrator presentation @ CATCH Symposium
CHIP Demonstrator presentation @ CATCH SymposiumLora Aroyo
 
Semantic Web Challenge: CHIP Demonstrator
Semantic Web Challenge: CHIP DemonstratorSemantic Web Challenge: CHIP Demonstrator
Semantic Web Challenge: CHIP DemonstratorLora Aroyo
 
Keynote at International Conference of Art Libraries 2018 @Rijksmuseum
Keynote at International Conference of Art Libraries 2018 @RijksmuseumKeynote at International Conference of Art Libraries 2018 @Rijksmuseum
Keynote at International Conference of Art Libraries 2018 @RijksmuseumLora Aroyo
 
FAIRview: Responsible Video Summarization @NYCML'18
FAIRview: Responsible Video Summarization @NYCML'18FAIRview: Responsible Video Summarization @NYCML'18
FAIRview: Responsible Video Summarization @NYCML'18Lora Aroyo
 
Understanding bias in video news & news filtering algorithms
Understanding bias in video news & news filtering algorithmsUnderstanding bias in video news & news filtering algorithms
Understanding bias in video news & news filtering algorithmsLora Aroyo
 
StorySourcing: Telling Stories with Humans & Machines
StorySourcing: Telling Stories with Humans & MachinesStorySourcing: Telling Stories with Humans & Machines
StorySourcing: Telling Stories with Humans & MachinesLora Aroyo
 
Data Science with Humans in the Loop
Data Science with Humans in the LoopData Science with Humans in the Loop
Data Science with Humans in the LoopLora Aroyo
 
Digital Humanities Benelux 2017: Keynote Lora Aroyo
Digital Humanities Benelux 2017: Keynote Lora AroyoDigital Humanities Benelux 2017: Keynote Lora Aroyo
Digital Humanities Benelux 2017: Keynote Lora AroyoLora Aroyo
 
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...Lora Aroyo
 
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017Crowdsourcing ambiguity aware ground truth - collective intelligence 2017
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017Lora Aroyo
 
My ESWC 2017 keynote: Disrupting the Semantic Comfort Zone
My ESWC 2017 keynote: Disrupting the Semantic Comfort ZoneMy ESWC 2017 keynote: Disrupting the Semantic Comfort Zone
My ESWC 2017 keynote: Disrupting the Semantic Comfort ZoneLora Aroyo
 
Data Science with Human in the Loop @Faculty of Science #Leiden University
Data Science with Human in the Loop @Faculty of Science #Leiden UniversityData Science with Human in the Loop @Faculty of Science #Leiden University
Data Science with Human in the Loop @Faculty of Science #Leiden UniversityLora Aroyo
 
SXSW2017 @NewDutchMedia Talk: Exploration is the New Search
SXSW2017 @NewDutchMedia Talk: Exploration is the New SearchSXSW2017 @NewDutchMedia Talk: Exploration is the New Search
SXSW2017 @NewDutchMedia Talk: Exploration is the New SearchLora Aroyo
 
Europeana GA 2016: Harnessing Crowds, Niches & Professionals in the Digital Age
Europeana GA 2016: Harnessing Crowds, Niches & Professionals  in the Digital AgeEuropeana GA 2016: Harnessing Crowds, Niches & Professionals  in the Digital Age
Europeana GA 2016: Harnessing Crowds, Niches & Professionals in the Digital AgeLora Aroyo
 
"Video Killed the Radio Star": From MTV to Snapchat
"Video Killed the Radio Star": From MTV to Snapchat"Video Killed the Radio Star": From MTV to Snapchat
"Video Killed the Radio Star": From MTV to SnapchatLora Aroyo
 
UMAP 2016 Opening Ceremony
UMAP 2016 Opening CeremonyUMAP 2016 Opening Ceremony
UMAP 2016 Opening CeremonyLora Aroyo
 

Plus de Lora Aroyo (20)

NeurIPS2023 Keynote: The Many Faces of Responsible AI.pdf
NeurIPS2023 Keynote: The Many Faces of Responsible AI.pdfNeurIPS2023 Keynote: The Many Faces of Responsible AI.pdf
NeurIPS2023 Keynote: The Many Faces of Responsible AI.pdf
 
CATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine Learning
CATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine LearningCATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine Learning
CATS4ML Data Challenge: Crowdsourcing Adverse Test Sets for Machine Learning
 
Harnessing Human Semantics at Scale (updated)
Harnessing Human Semantics at Scale (updated)Harnessing Human Semantics at Scale (updated)
Harnessing Human Semantics at Scale (updated)
 
Data excellence: Better data for better AI
Data excellence: Better data for better AIData excellence: Better data for better AI
Data excellence: Better data for better AI
 
CHIP Demonstrator presentation @ CATCH Symposium
CHIP Demonstrator presentation @ CATCH SymposiumCHIP Demonstrator presentation @ CATCH Symposium
CHIP Demonstrator presentation @ CATCH Symposium
 
Semantic Web Challenge: CHIP Demonstrator
Semantic Web Challenge: CHIP DemonstratorSemantic Web Challenge: CHIP Demonstrator
Semantic Web Challenge: CHIP Demonstrator
 
Keynote at International Conference of Art Libraries 2018 @Rijksmuseum
Keynote at International Conference of Art Libraries 2018 @RijksmuseumKeynote at International Conference of Art Libraries 2018 @Rijksmuseum
Keynote at International Conference of Art Libraries 2018 @Rijksmuseum
 
FAIRview: Responsible Video Summarization @NYCML'18
FAIRview: Responsible Video Summarization @NYCML'18FAIRview: Responsible Video Summarization @NYCML'18
FAIRview: Responsible Video Summarization @NYCML'18
 
Understanding bias in video news & news filtering algorithms
Understanding bias in video news & news filtering algorithmsUnderstanding bias in video news & news filtering algorithms
Understanding bias in video news & news filtering algorithms
 
StorySourcing: Telling Stories with Humans & Machines
StorySourcing: Telling Stories with Humans & MachinesStorySourcing: Telling Stories with Humans & Machines
StorySourcing: Telling Stories with Humans & Machines
 
Data Science with Humans in the Loop
Data Science with Humans in the LoopData Science with Humans in the Loop
Data Science with Humans in the Loop
 
Digital Humanities Benelux 2017: Keynote Lora Aroyo
Digital Humanities Benelux 2017: Keynote Lora AroyoDigital Humanities Benelux 2017: Keynote Lora Aroyo
Digital Humanities Benelux 2017: Keynote Lora Aroyo
 
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...
 
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017Crowdsourcing ambiguity aware ground truth - collective intelligence 2017
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017
 
My ESWC 2017 keynote: Disrupting the Semantic Comfort Zone
My ESWC 2017 keynote: Disrupting the Semantic Comfort ZoneMy ESWC 2017 keynote: Disrupting the Semantic Comfort Zone
My ESWC 2017 keynote: Disrupting the Semantic Comfort Zone
 
Data Science with Human in the Loop @Faculty of Science #Leiden University
Data Science with Human in the Loop @Faculty of Science #Leiden UniversityData Science with Human in the Loop @Faculty of Science #Leiden University
Data Science with Human in the Loop @Faculty of Science #Leiden University
 
SXSW2017 @NewDutchMedia Talk: Exploration is the New Search
SXSW2017 @NewDutchMedia Talk: Exploration is the New SearchSXSW2017 @NewDutchMedia Talk: Exploration is the New Search
SXSW2017 @NewDutchMedia Talk: Exploration is the New Search
 
Europeana GA 2016: Harnessing Crowds, Niches & Professionals in the Digital Age
Europeana GA 2016: Harnessing Crowds, Niches & Professionals  in the Digital AgeEuropeana GA 2016: Harnessing Crowds, Niches & Professionals  in the Digital Age
Europeana GA 2016: Harnessing Crowds, Niches & Professionals in the Digital Age
 
"Video Killed the Radio Star": From MTV to Snapchat
"Video Killed the Radio Star": From MTV to Snapchat"Video Killed the Radio Star": From MTV to Snapchat
"Video Killed the Radio Star": From MTV to Snapchat
 
UMAP 2016 Opening Ceremony
UMAP 2016 Opening CeremonyUMAP 2016 Opening Ceremony
UMAP 2016 Opening Ceremony
 

Dernier

What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 

Dernier (20)

What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 

Rijksmuseum Linked Data Improves Access

  • 1. The Rijksmuseum Collection as Linked Data Chris Dijkshoorn , Lora Aroyo, Jacco van Ossenbruggen, Guus Schreiber, Wesley ter Weele, Jan Wielemaker Lizzy Jongma http://www.semantic-web-journal.net/content/rijksmuseum-collection-linked-data-2 @laroyo @LizzyJongma @rasvaan
  • 2. Open up data silos ‣ Improve reusability data ‣ Support integration collections ‣ Identifiers for things ‣ Cross-referencing ‣ Lins across collections ‣ Shared views & context of objects ‣ Data models for interoperability 
 Researchers & Collection Managers using it for deep analysis of objects and collections as a whole Linked Data in Cultural Heritage
  • 3. Collection ‣ Collection of ~1,000,000 objects ‣ Artworks on display ~8.000 ‣ Dutch Masters like Rembrandt
 Online Collection ‣ Accessible through API ‣ 597,193 object records ‣ 207,441 works have CC0 image Images are released in the public domain for users & developers https://www.rijksmuseum.nl/en/api Rijksmuseum Amsterdam
  • 4. Professional catalogers and photographers ‣ Register artworks ‣ Provide annotations ‣ Digitise artworks ‣ Publish them online
 ~40,000 new object records a year time consuming & costly endeavour Versioning of data Digitisation projects
  • 5. Collection Management System Rijksmuseum Content Management System 597 fields Rijksmuseum Collection Data 597,193 objects Rijksmuseum API XSLT exporting XML XML identifying fields Data from collection management is harvested daily & loaded in a database serving the website
  • 6. Website Website 245 fields Website Data 597,193 objects Rijksmuseum Content Management System 597 fields Rijksmuseum Collection Data 597,193 objects Rijksmuseum Regular user daily JSONrequest API JSON export XSLT exporting XML Only CC0 Developer API XSLT exporting XML XML identifying fields • A subset of 245 metadata fields (597 in total) are included in the output of collection management • Fields no longer used or contain sensitive data, e.g. insurance values are excluded • The selected fields are transformed to form field names which better reflect their content, omit empty values and generate links to other databases maintained by the Rijksmuseum (XSLT)
  • 7. Conversion to Linked Data Website 245 fields Website Data 597,193 objects Rijksmuseum Content Management System 597 fields Rijksmuseum Collection Data 597,193 objects Rijksmuseum Regular user daily JSONrequest request API JSON export XSLT exporting XML Only CC0 Developer Triple Store 15 fields Researcher RDF EDM 15 fields API XSLT exporting XML XML identifying fields Rijksmuseum Linked Data 351,814 objects Relevant metadata fields of a collection object are mapped to the Europeana Data Model that most closely resembles the values of the field. The output of the API is used to obtain a complete harvest of the data, which is in turn loaded into a triple store (run on a monthly basis with links to downloads of older versioned datadumps)
  • 8. Conversion to Linked Data Website 245 fields Website Data 597,193 objects Rijksmuseum Content Management System 597 fields Rijksmuseum Collection Data 597,193 objects Rijksmuseum Regular user daily JSONrequest request API JSON export XSLT exporting XML Only CC0 Developer Triple Store 15 fields Researcher RDF EDM 15 fields API XSLT exporting XML XML identifying fields Rijksmuseum Linked Data 351,814 objects modelling the complete collection & integrating it with other collections from other institutions required the ability to model different (potentially conflicting) metadata records from different sources describing the same artwork
  • 9. Europeana Data Model ProvidedCHO SK-A-3276 "Jeremiah Lamenting the Destruction of Jerusalem"@en "Rembrandt Harmensz. van Rijn" title aggregated CHO creator aggregation COL.5242 Agent PEOPLE.5706 isShownBy pref Label "Rijksmuseum" data Provider WebResource The Rijksmuseum dataset was one of the first entries in the Europeana Thought Lab Images converted to comply with the VRA data model, 46K The data model is designed with reuse of existing classes and properties in mind. It includes elements from the Dublin Core metadata initiative and the Object Reuse and Exchange definition of the Open Archives Initiative. three core classes: • edm:ProvidedCHO for cultural heritage objects • edm:WebResource for web resources • ore:Aggregation for aggregations of resources properties: • dc:creator • dc:title • dc:format • dc:subject
  • 10. Iconclass ‣ Concepts about subjects,
 themes and motifs in Western art ‣ Links artworks to subject
 Art & Architecture Thesaurus (AAT) ‣ Concepts about art styles,
 materials and agents ‣ Links artworks to type and format Short-Title catalogue Netherlands (STCN) ‣ retrospective national bibliography of the Netherlands maintained by the National Library of the Netherlands. ‣ books that are the source of objects in the print collection of the Rijksmuseum Links to external datasets
  • 11. Links to external datasets "Rijksmuseum" ProvidedCHO SK-A-3276 Concept 71O77 "Jeremiah Lamenting the Destruction of Jerusalem"@en prefLabel "Jeremiah lamenting over the destruction of Jerusalem"@en broader Concept 300015050 prefLabel concept 1000014078-en "Rembrandt Harmensz. van Rijn" Vocabularies title aggregated CHO creator aggregation COL.5242 Agent PEOPLE.5706 isShownBy format Concept 71 prefLabel "Old Testament"@en prefLabel term "oil paint"@en dataProvider WebResource subject
  • 12. Dataset stats 22,846,996 triples describing 351,814 objects 207,441 with graphical depiction Ten sub-collections are maintained: • sculptures (29,782 objects) • historical items (19,936 objects) • paintings (3,949 objects) • Asian art (3,722 objects) • prints, drawings & photos (280,047 objects)
  • 13. Frequency distributions of the top 50 concepts of AAT & Iconclass in Rijksmuseum collection A small subset of concepts is often used: • 305 distinct formats • 124 distinct types • prints (183,916) • stereoscopic photographs (3,480) • plates (1,617) • art styles are often debatable Many concepts are often used (ave ~ 27 times): • 39,578 concepts in the vocabulary • 10,434 are used to add information to an object • 351,814 collection objects • 172,059 have one or more Iconclass annotations
  • 14. Focus on art-historical information Occasional lack of expertise regarding subject matter annotations This print is described as: ‣ “Bird with blue head” ‣ “Branch with red leaves”
 Annotating Artworks
  • 15. Create links using Accurator annotation tool
 http://annotation.accurator.nl/ 
 Organise annotation events ‣ Bird watching event ‣ Fashion event Experts are adding information
  • 16. Publishing data widens the type of users involved Engage in a dialogue ‣ What information is needed? ‣ Which vocabularies to use? ‣ Which fields can be used to 
 describe the objects? Dialogue about data
  • 21. Many prints originate from books ‣ References to these books are added as
 curators comments 
 Short-Title catalogue Netherlands ‣ Retrospective national bibliography in
 the period 1540-1800 ‣ Includes 139,817 publications
 Linking books to prints ‣ Scan for curator comments containing 
 Title, Author and Year ‣ 3598 links from prints to 501 publications Linking to the National Library
  • 22. Opportunities for integration - Rijksmuseum Website
  • 23. Print Kono Bairei Opportunities for integration: Naturalis - Dutch Species
  • 25. All at once
 monthly datadumps
 https://datahub.io/dataset/rijksmuseum Request based
 OAI API
 https://www.rijksmuseum.nl/en/api/ rijksmuseum-oai-api-instructions-for-use Queries
 SPARQL Endpoint
 https://datahub.io/dataset/rijksmuseum How to use the data
  • 26. The Rijksmuseum Collection as Linked Data http://www.semantic-web-journal.net/content/rijksmuseum-collection-linked-data-2 Chris Dijkshoorn , Lora Aroyo, Jacco van Ossenbruggen, Guus Schreiber, Wesley ter Weele, Jan Wielemaker Lizzy Jongma @laroyo @LizzyJongma @rasvaan