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Linked Open Data case study:
WW2 underground newspapers on Wikipedia
Digital Access to Cultural Heritage, Leiden University, 23-2-2017
Olaf Janssen (Koninklijke Bibliotheek)
olaf.janssen@kb.nl - @ookgezellig
What I hope you’ll learn today
Using LOD theory (lecture René Voorburg) in practice
1. How to give a new life to an old paper book
2. How to get 1.300 newspapers from WW2 on Wikipedia
While doing 1 and 2:
3. The advantages of Linked Open Data
(= downsides of unconnected data sources)
See this lecture on Slideshare:
https://www.slideshare.net/OlafJanssenNL/linked-open-data-case-study-illegal-newspapers-ww2-wikipedia-
dbpedia-lecture-leiden-university-2722017
http://www.4en5meiamsterdam.nl/attachment/47454
During WW2
the Dutch resistance issued many
underground, illegal newspapers.
In every shape & form…
http://www.4en5meiamsterdam.nl/attachment/47454
http://resolver.kb.nl/resolve?urn=ddd:010436323 http://resolver.kb.nl/resolve?urn=ddd:010442948
http://resolver.kb.nl/resolve?urn=ddd:010447825 http://resolver.kb.nl/resolve?urn=ddd:010450508
From well-organized,
‘professional’
big titles…
(o.a. Parool, Vrij Nederland, Trouw, de Waarheid)
…to very small, amateur, home-made,
pamphlet-like issues
By OlafJanssen (Own work) [CC BY-SA 4.0 (http://creativecommons.org/licenses/by-sa/4.0)], -
https://commons.wikimedia.org/wiki/File:Kluisdeur_bij_het_NIOD_in_Amsterdam.jpg
After the war 1.300 newspaper titles
were (physically) preserved
at the NIOD.
The national Institute for
War, Holocaust
and Genocide Studies
in Amsterdam
By OSeveno (Own work) [CC BY-SA 4.0
(http://creativecommons.org/licenses/by-sa/4.0)], -
https://commons.wikimedia.org/wiki/File:02_(NIOD)_2016_(Herengracht_380
-382,_Amsterdam).jpg
By Romaine - Own work, CC0, https://commons.wikimedia.org/w/index.php?curid=37072767
https://commons.wikimedia.org/wiki/File:Verzetskrant_in_archiefdozen_bij_het_NIOD.jpg – CC-BY-SA - OlafJanssen
By Romaine - Own work, CC0,
https://commons.wikimedia.org/w/index.php?curid=37072734
They were
described in formal library catalogues
(1.300 titles)
Bibliographic
metadata
Underground
students’ newspaper
from The Hague
107123223 = PPN
= unique ID of this title
in KB catalogue
In 2010 these newspapers were digitised page by page…
resulting in …
www.delpher.nl/kranten
… full-texts in Delpher …
(1.300 titles)
Once more, De Geus onder studenten
37 editions
URL of this page:
http://www.delpher.nl/nl/kranten/results?coll=d
ddtitel&cql[]=ppn+any+(107123223)
107123223 = PPN
= unique ID of this title in Delpher
(same for KB catalogue)
Once more, De Geus onder studenten
In Delpher you can read and (word)search
these newspapers…
• Scans
• Full-text OCR
• ALTO
But say, I want to know more about this newspaper
• What sort of illegal newspaper was it?
• What is the history of this newspaper?
• Who wrote it?
• Where was this newspaper printed?
• How was it distributed?
• Were there any relations with other underground newspapers?
• Etc…
But say, I want to know more about this newspaper
• What sort of illegal newspaper was it?
• What is the history of this newspaper?
• Who wrote it?
• Where was this newspaper printed?
• How was it distributed?
• Were there any relations with other underground newspapers or
resistance groups?
• Etc…
Under “Details” perhaps?
But say, I want to know more about this newspaper
• What sort of illegal newspaper was it?
• What is the history of this newspaper?
• Who wrote it?
• Where was this newspaper printed?
• How was it distributed?
• Were there any relations with other underground newspapers?
• Etc…
OK ok, some metadata…
.. but no real contextual info
Maybe in the
catalogue record??
Big drawback of Delpher
(and KB catalogue)
No contextual information
about WW2 underground newspapers
https://thejungleisneutral.files.wordpress.com/2013/11/lost.jpg
Question:
Where would many people go to find
contextual information about historic newspapers?
Probably Wikipedia! (via Google)
http://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
Question:
Where would many people go to find
contextual information about historic newspapers?
Probably Wikipedia! (via Google)
Report on interest in WW2 among Dutch population
http://www.oorlogsbronnen.nl/gebruikersonderzoek2015, May 2015
Many of us use the internet to search for
information [..]. We often mention Wikipedia…
General audience
Everything is of course on Wikipedia. Just type in a
name and you can read entire essays...
People > 60
Over half of us think that Wikipedia and Google
contribute to our knowledge and understanding of
history
School/students
Over half of us think that Wikipedia and Google
contribute to our knowledge and understanding of
history
When we have to find information about WW2 outside
the class setting, we fully concentrate on digital
resources like Google and Wikipedia.
School/students
http://www.delpher.nl/nl/kranten/results?coll=dddtitel&cql[]=ppn+any+(107123223)
http://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
is given in
Context about
De Geus onder studenten
http://2.bp.blogspot.com/_BWzuYwiS6-I/TMgeRsFd3mI/AAAAAAAAElw/3cvgbZSPWcs/s1600/doctor+macro+judy+scared.jpg
This Wikipedia article is
a carefully chosen exception
1. There are very few illegal
newspapers with their own WP articles
2. The inventory of these newspapers
on WP is far from complete
<<< 1.300
titles
https://thejungleisneutral.files.wordpress.com/2013/11/lost.jpg
So: We badly need contextual information about illegal
newspapers. Where do we get it?
https://thejungleisneutral.files.wordpress.com/2013/11/lost.jpg
So: We badly need contextual information about illegal
newspapers. Where do we get it?
De Ondergrondse Pers 1940-1945
Lydia E. Winkel, H. de Vries , 1989,
ISBN 9021837463,
Veen Uitgevers
This paper book
contains contextual entries
about all 1.300
illegal newspapers
Entry 199 – De Geus; (onder studenten)
Unique ID
(within the book)
Metadata
Place of publication
Relation 1/3
Newspaper Place name
Context
Raw material for
Wikipedia article
Person names
Relation 2/3
Newspaper Persons
This article also contains
references to other newspapers
• 106 = Cereales Vadeness (students’ resistance newspaper, Wageningen)
• 360 = Leidsche Brief (students’ resistance newspaper, Leiden)
• 748 = Sol Justitiae (students’ resistance newspaper, Utrecht)
Relation 3/3
This newspaper Other newspapers
http://https://knowledgeutopia.files.wordpress.com/2014/01/hollandhouselibraryblitz1940.j
pg
Too bad it’s a paper book
 hard to find, multiply, distribute and build upon
We need it digital!!
http://https://knowledgeutopia.files.wordpress.com/2014/01/hollandhouselibraryblitz1940.j
pg
We need it digital!!
1. Clear copyright with copyright holder (NIOD)
 Open CC-BY-SA license
2. Scan & OCR
3. Convert into PDF
4. Put online: NIOD site & Wikimedia Commons
DOP as PDF on NIOD website (CC-BY-SA)
http://www.niod.nl/nl/de-ondergrondse-pers-1940-1945
DOP as PDF on Wikimedia Commons
https://commons.wikimedia.org/wiki/File:PDF_of_De_Ondergrondse_Pers_1940-1945_-_derde_druk_-_1989.pdf
De Winkel as PDF on NIOD website (CC-BY-SA)
http://www.niod.nl/nl/de-ondergrondse-pers-1940-1945
Saved us €13.330!
http://www.brill.com/dutch-underground-press-1940-1945
Wikipedia article about DOP
http://nl.wikipedia.org/wiki/De_ondergrondse_pers_1940-1945
Wikipedia article about the author
http://nl.wikipedia.org/wiki/Lydia_Winkel
DOP, the plusses
Available online (PDF, flat file)
Open license (CC-BY-SA)
Contextual information
Relations
• Newspaper  Places
• Newspaper  Persons
• Newspaper  Other newspapers
http://www.archives.gov/research/military/ww2/photos/images/ww2-194.jpg
http://2.bp.blogspot.com/_BWzuYwiS6-I/TMgeRsFd3mI/AAAAAAAAElw/3cvgbZSPWcs/s1600/doctor+macro+judy+scared.jpg
DOP, the minusses
Unstructured data (PDF, flat file)
 Not very machine readable
(unlike CSV, XML, JSON, RDF)
No relations between
• newspaper  KB catalogue
(metadata)
• newspaper  Delpher (full-text)
• newspaper, places & persons 
external sources (like Wikipedia)
... but the data sources are
unconnected
(and for 3+4: unstructured & not machine-readable)
To summarize:
a lot of data sources are available about these WW2
underground newspapers
1. Metadata (from KB catalogue)
2. Content (full-text from Delpher)
3. Context (from De Ondergrondse Pers, PDF)
4. Relations: newspaper  places, persons, other newspapers
(DOP, PDF)
5. External resources about newspapers, places and persons
http://2.bp.blogspot.com/_BWzuYwiS6-I/TMgeRsFd3mI/AAAAAAAAElw/3cvgbZSPWcs/s1600/doctor+macro+judy+scared.jpg
... making
discovery, understanding & research
of these newspapers (and related places & persons)
more difficult than necessary
We can solve all these issues!
Good news!
Wikiproject(*) Verzetskranten
Systematically and uniformly describe & interlink all
1.300 Dutch underground newspapers from WW2
on Dutch Wikipedia
tinyurl.com/verzetskranten (in Dutch)
* https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject, https://en.wikipedia.org/wiki/Wikipedia:Wikiproject
Wikiproject(*) Verzetskranten
Systematically and uniformly describe & interlink all
1.300 Dutch underground newspapers from WW2
on Dutch Wikipedia
tinyurl.com/verzetskranten (in Dutch)
* https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject, https://en.wikipedia.org/wiki/Wikipedia:Wikiproject
Reach a big audience:
80% of Dutch people
use Wikipedia
From 14  1.300 titles
https://nl.wikipedia.org/wiki/Categorie:Illegale_pers_in_de_Tweede_Wereldoorlog
Wikiproject(*) Verzetskranten
Systematically and uniformly describe & interlink all
1.300 Dutch underground newspapers from WW2
on Dutch Wikipedia
tinyurl.com/verzetskranten (in Dutch)
We need a
database!
Build central database
https://www.youtube.com/watch?v=GVDGuCjog_0
Build central database
www.youtube.com/watch?v=GVDGuCjog_0
Step 1: Create Excel-sheet with
• Metadata about newspaper (from DOP PDF)
• Unique Wikipedia article title
• Contextual info, incl. related persons & titles
(from DOP PDF)
• PPN: unique identifier linking newspaper to
KB-catalogue & Delpher
DOP-ID
Place of publication
Other metadata
Title
Unique Wikipedia article title
=
<Newspaper title> (verzetsblad, <Place of publication>)
• Contextual info
• Related persons
• Related newspaper titles
PPN (107123223)
http://opc4.kb.nl/DB=1/
PPN?PPN=107123223
http://opc4.kb.nl/DB=1/
PPN?PPN=107123223
PPN (107123223)
PPN (107123223)
http://www.delpher.nl/nl/kra
nten/results/index?coll=dddtit
el&cql[]=ppn%3D107123223
http://www.delpher.nl/nl/kra
nten/results/index?coll=dddtit
el&cql[]=ppn%3D107123223
PPN (107123223)
Build central database
Step 2: Convert Excel into
RDF triplestore
(=special kind of online database anybody can access)
• Steps 1-4 from http://linda-project.eu/linked-
data-primer-2
• Step 4: Vocubulary used = Bibframe
(http://bibframe.org/vocab)
Build central database
Step 3: Link to external resources
• Step 5 from http://linda-project.eu/linked-data-primer-2
• DBpedia = machine-readable, structured version of Wikipedia
• DBpedia = hub for linking different data sets on the Web to each
other  Linked Open Data cloud
• Connect persons & places in newspaper database to external
resources via DBpedia
Step 1c: Link to external resources
• Step 5 from http://linda-project.eu/linked-data-primer-2
• DBpedia = machine-readable , structured version of Wikipedia
DBpedia allows you to ask sophisticated queries against Wikipedia, and to link
the different data sets on the Web to Wikipedia data
• Connect persons & places in newspaper database to external
resources via DBpedia
http://lod-cloud.net/versions/2010-09-22/lod-cloud_colored.png
Linked Open Data cloud
Build central database
Step 3: Link to external resources
• Step 5 from http://linda-project.eu/linked-data-primer-2
• DBpedia = machine-readable, structured version of Wikipedia
• DBpedia = hub for linking different data sets on the Web to each
other  Linked Open Data cloud
• We use DBpdia to connect persons & places in our newspaper
database to information in other databases
http://nl.dbpedia.org/page/Huib_Drion
https://nl.wikipedia.org/wiki/Huib_Drion
http://www.dbnl.org/auteurs/auteur.php?id=drio001
http://www.biografischportaal.nl/persoon/41181342
Build central database
Added value of Linked Open Data & DBpedia
Software can automatically query for additional
information about places and persons mentioned in
DOP that is not available in
• KB catalogue
• Delpher
• DOP itself
Summary: data about 1.300 newspapers
Available online Structured data (RDF-triples)
Open license (CC-BY-SA) Open standard (RDF)
Contextual information Links between newspaper
Delpher & KB-cat (via PPNs)
Relations Links between newspapers
• Newspaper  Places places & persons  external
• Newspaper  Persons sources (via DBpedia)
• Newspaper  Other newspapers
(PPNs)
Summary: data about 1.300 newspapers
Available online Structured data (RDF-triples)
Open license (CC-BY-SA) Open standard (RDF)
Contextual information Links between newspaper
Delpher & KB-cat (via PPNs)
Relations Links between newspapers
• Newspaper  Places places & persons  external
• Newspaper  Persons sources (via DBpedia)
• Newspaper  Other newspapers
(PPNs)
Summary: data about 1.300 newspapers
Available online Structured data (RDF-triples)
Open license (CC-BY-SA) Open standard (RDF)
Contextual information Links between newspaper
Delpher & KB-cat (via PPNs)
Relations Links between newspapers
• Newspaper  Places places & persons  external
• Newspaper  Persons sources (via DBpedia)
• Newspaper  Other newspapers
(PPNs)
http://5stardata.info/en/
Wikiproject Verzetskranten
Systematically and uniformly describe & link all
1.300 Dutch underground newspapers from WW2
on Dutch Wikipedia
We need a
template!
Using an article template we can generate
1.300 uniform Wikipedia article stubs from
the LOD triple store
https://c1.staticflickr.com/9/8281/7699231918_11a7356c38_b.jpg
LOD database + article template = Wikipedia article stub
https://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
https://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
Titles  Get from triple store
Using a SPARQL query
Metadata  Get from triple store
Using SPARQL query
Metadata  get from triple store
Using SPARQL query
https://github.com/ookgezellig/verzetskranten/blob/master/var/sparql/DOP_Blad_met_Details.rq
Related persons
 Get from triple sore
Related newspapers
 Get from triplestore
ID of newspaper in DOP (199)
 Get from triple store
Link to full-text editions in
Delpher
 Get from triple store
Link to KB catalogue record
 Get from triple store
These snippets/labels are identical for
all 1.300 newspapers
 Hard coded in template
 https://github.com/ookgezellig/verzetskranten/blob/master/app/Resources/views/defaul
t/wiki.html.twig
Grey = Wikipedia article stub
• From triple store (using SPARQL)
• Hard coded fixed strings in template
https://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
Non-grey = Wikipedia article stub
• From triple store (using SPARQL)
• Hard coded fixed strings in template
Overview of 1300 article stubs @WP:NL
https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject/Verzetskranten/Beginnetjes
Overview of 1300 article stubs @WP:NL
https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject/Verzetskranten/Beginnetjes
Overview of 1300 article stubs @WP:NL
https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject/Verzetskranten/Beginnetjes
Overview of 1300 article stubs @WP:NL
https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject/Verzetskranten/Beginnetjes
https://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
This bit
was added manually
to expand stub into full article
 Crowdsourcing by
Dutch Wikipedia community
https://nl.wikipedia.org/wiki/De_Geus_onder_studenten_(verzetsblad)
A group of Wikipedia volunteers is currently
working to expand the 1.300 stubs…
gradually creating more and more full articles.
Door Sebastiaan ter Burg [CC BY 2.0 (http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons
Before the project
(2015)
Overview of full articles on illegal newspapers @WP:NL
https://nl.wikipedia.org/wiki/Categorie:Nederlandse_illegale_pers_in_de_Tweede_Wereldoorlog
The number of
articles is growing
steadily…
Overview of full articles on illegal newspapers @WP:NL
https://nl.wikipedia.org/wiki/Categorie:Nederlandse_illegale_pers_in_de_Tweede_Wereldoorlog
… making many Dutch
people happy!
http://www.formerdays.com/2011/05/dutch-liberation.html
Thanks!
olaf.janssen@kb.nl - @ookgezellig
tinyurl.com/verzetskranten
Suggested reading
• http://www.ted.com/talks/tim_berners_lee_on_the_next_web
20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he's building a web for open, linked data
that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it
together.
• https://en.wikipedia.org/wiki/Linked_data
Wikipedia article related to the above video
• http://5stardata.info/en/
The 5 stars of Linked Open Data (Tim Berners-Lee)
• http://linda-project.eu/linked-data-primer-2/
Short primer about creating LOD in practice, starting from an Excel sheet
• http://www.programmableweb.com/news/how-linked-data-solved-digital-age-marketing-
problem/analysis/2015/08/31
The figure near the bottom of the first page is a good illustration of the concept of (linked) triples
• https://en.wikipedia.org/wiki/DBpedia
• https://en.wikipedia.org/wiki/Semantic_network
http://www.gettyimages.nl/detail/nieuwsfoto's/three-women-of-the-ats-light-up-together-ats-regulations-nieuwsfotos/3094265

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Linked Open Data case study (illegal newspapers WW2, Wikipedia, DBpedia) - Lecture Leiden University 27-2-2017