nlw linked open data sets
TRANSCRIPT
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NLW DatasetsNational Library of Wales
Owain Roberts @owainrrGlen Robson @glenrobson
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Background• NLW has been digitising since late 90s
• Digitised material tends to be static material – the digtised stuff don’t change with time!
• Datasets and databases treated outside the collections systems
• Infrastructre gap identified for dealing with datasets
• Move to dealing with born-digital material and datasets
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Datasets / Derived Content
PHYSICAL COLLECTIONS
DIGITISED COLLECTIONS
Digitisation
DERIVED CONTENT
Transcription
Automation / Crowdsourcing
DERIVED CONTENT
PHYSICAL COLLECTIONS
DIGITAL COLLECTIONS
DERIVED CONTENT
Automation / Crowdsourcing
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The Storage Problem
Where do we put these?
• Datasets derived from physical collections
• Data derived from digital collections
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What is linked data?
A way of connecting silos of data
A way of enhancing existing data
A way of structuring data (like a database or XML)
A standard way of sharing data (like an API)
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Triples
Subject Predicate Object
•Person hasName Owain•Person hasAge 24•Person worksIn NLW – literal•Person worksIn NlW - literal•Person worksIn http://www.llgc.org.uk/ - URI
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Aberystwyth Shipping Records
Transcribed as part of NLW Volunteer Programme544 Ships covering period 1856-1914
An example…
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Cynefin Tithe Maps
1838 - 1947
Cymru 1914.org and Wales at War
1914-1918
Shipping Records1856 - 1914
Crime and Punishment
Database1730 - 1830
Welsh Biography Online
0 - 1970
Welsh Newspapers Online
1804 - 1919
EXTERNAL DATASETS
EXTERNAL DATASET
EXTERNAL DATASET
Cymru 1900~ 1900
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Aberystwyth Observer23 March 1905
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Aberystwyth Observer23 April 1905
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Events
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Cynefin Tithe Maps
1838 - 1947
Cymru 1914.org and Wales at War
1914-1918
Shipping Records1856 - 1914
Crime and Punishment
Database1730 - 1830
Welsh Biography Online
0 - 1970
Welsh Newspapers Online
1804 - 1919
EXTERNAL DATASETS
EXTERNAL DATASET
EXTERNAL DATASET
Cymru 1900~ 1900
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New Developments
• IIIF• Linked Open Data
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CommunityNational Libraries• Austria• British Library• France• Denmark• Egypt• Israel• New Zealand• Norway• Poland• Serbia• Vatican• Wales
http://www.slideshare.net/azaroth42/introduction-to-iiif
Research Institutions• C2RMF (France)• Cornell University• Johns Hopkins Univ. • Harvard University • Oxford University• Princeton University• Stanford University• Wellcome Library• Yale University• plus several more
Museums • YCBA• British Museum Aggregators• Artstor• DPLA• Europeana Projects• Biblissima • e-codices• TPEN• TextGrid
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What can I do with it?
National Library of Wales
Repository
British LibraryDigital Library
National Library of NorwayRepository
BnFRepository
Image APIPresentation API
MiradorIIIF Viewer
Wellcome/Universal Viewer
IIIF Viewer
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Mirador
http://stanford.io/1PW789d
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Linked Open Data
• “A method of publishing structured data so that it can be interlinked and become more useful through semantic queries”
• Tim Berners-Lee coined the term in a 2006 design note about the Semantic Web project
https://en.wikipedia.org/wiki/Linked_data• Turing the web into data rather than
documents
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Benefits for Research
• Queryable: SPARQL• Open Data
– Not limited by website – Not limited to an API– Keys to the database
• Linkable to other datasets– Wikipedia– Geonames
• Built to be added to
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Book of Remembrance
• Once transcribed it will be a complete dataset of the Welsh fallen– Query by rank, location, service
• Linkable– Geonames – county/area– Wales at War - http://www.walesatwar.org
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Shipping Registers
• 544 merchant vessels registered at the port of Aberystwyth
• 1856-1914• Crew lists – name, position, birth date, reason
for leaving, location • Transcribed by volunteers• Modelled in Linked Open Data
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Top 4 Places Visited
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Top Visits
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Problems• Linking out
– Places -> Geonames, Cynefin– Ships -> Wikipedia– Ships -> Newspapers?
• Disambiguation– Between people
• In Shipping Records• Across resources e.g. Newspapers
– Between resources– Dutch Shipping to Newspaper linking: http://bit.ly/1Talish/
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Going forward• Release more datasets as LOD• Crowd sourcing to create data• Working with researchers on enhancing datasets.• Can we turn the Newspapers into a Queryable
dataset?– Name Entity Recognition– Crowd– Research Projects
• Can we link our digital resources together?