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Data → open and linked 
Wouter Degadt & Pieter Colpaert 
wouter.degadt@leiedal.be & pieter.colpaert@okfn.org
Programme 
1. The basics 
Data → Open Data → Linked Data 
1. Linked Open Data 
How to publish data?
Data 
Wikipedia says: 
English (disambiguation): data is uninterpreted information 
English (computing): is any sequence of symbols given meaning by specific acts of 
interpretation. 
Dutch: data is the plural of datum, which is an observation of a fact
What’s data quality?
What’s interoperability?
process 
legal 
technical 
syntactic 
object 
semantic 
↓ 
Querying 
Would the data governance be able 
to be merged? 
Are you legally allowed to merge 2 datasets? 
Can you connect the communication channels? 
e.g., merge a dataset published as a CD with a 
dataset published using floppy disk 
What’s the interoperability of the serialisation 
formats? E.g., JSON vs. PDF? 
What can you request to the server? 
Do the words in the one dataset mean the same 
as the words in the other? 
How easy is it to ask certain questions over the 
borders of the dataset?
Open Data 
Because non-personal data increases in value when 
others reuse it
reuse is allowed 
Data on the web 
reuse in a gray zone unauthorised reuse
OpenDefinition.org
How can we find open data? 
It’s made available through open data portals 
http://data.gov.uk, 
http://datahub.io, 
http://open-data.europa.eu, 
http://data.gent.be, 
… 
Via links in existing datasets 
e.g., http://dbpedia.org/resource/Ghent
Linked Data 
Because it is impossible to store all the world’s 
knowledge on one machine
name type same as location 
iMinds company IBBT Gaston 
Crommenlaan 8 
{ 
“iMinds” : { 
“type” : “company”, 
“same as” : “IBBT, 
“location” : “Gaston 
Crommenlaan 8” 
} 
} 
<iMinds> 
<type>company</type> 
<sameas>IBBT</sameas> 
<location> 
Gaston Crommenlaan 8 
</location> 
</iMinds> 
Table / CSV / Spreadsheet 
JSON XML
name type same as location 
iMinds company IBBT Gaston 
Crommenlaan 8 
<iMinds> <type> <company> . 
<iMinds> <sameas> <IBBT> . 
<iMinds> <vestiging> “Gaston Crommenlaan 8” . 
Table / CSV / Spreadsheet 
triples 
JSON XML 
{ 
“iMinds” : { 
“type” : “company”, 
“same as” : “IBBT, 
“location” : “Gaston 
Crommenlaan 8” 
} 
} 
<iMinds> 
<type>company</type> 
<sameas>IBBT</sameas> 
<location> 
Gaston Crommenlaan 8 
</location> 
</iMinds>
Machine 1 Machine 2 Machine 3 
iMinds 
same as 
IBBT 
World Wide Web 
iMinds 
is a 
company 
IBBT 
located at 
Gaston Crommenlaan 8
Probleem 
semantic interoperability 
The word company is ambiguous. How can we make 
sure that machines understand each other? 
What about “is a”? 
and what about “iMinds”?
Solution 
Uniform Resource Identifiers (URI’s) 
iMinds → http://data.kbodata.be/organisation/0866_386_380#id 
is a → http://www.w3.org/1999/02/22-rdf-syntax-ns#type 
Company → http://www.w3.org/ns/regorg#RegisteredOrganization 
een triple = is an atomary piece of data (a datum 
or a fact) that cannot be misunderstood on 
machine-level in a Web context
iMinds 
compa 
ny 
is a 
iMinds → http://data.kbodata.be/organisation/0866_386_380#id 
is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type 
Company → http://www.w3.org/ns/regorg#RegisteredOrganization
Company register 
iMinds 
compa 
ny 
is a 
Open 
Knowledge 
Belgium 
TVH 
Maes 
…
company 
register 
address 
database 
… 
Government 
Service X
Linked Open Data cloud: de verzameling 
van biljoenen triples gepubliceerd via het 
Web
Summary 
New terms: data quality, data interoperability, triples, open 
data, linked open data cloud 
Linked Open Data means: making your data more 
interoperable with other datasets on the web by using URIs 
as identifiers and triples as atomary building blocks
Data publishing 
iMinds → http://data.kbodata.be/organisation/0866_386_380#id 
is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type 
Bedrijf → http://www.w3.org/ns/regorg#RegisteredOrganization
Linked Data principles 
1. Use a URI for every term 
2. Dereference these URIs over HTTP 
3. Return useful information 
4. Add links towards useful sources
E.g., I’m launching a new company 
{mynewcompany} → http://{mynewcompany}.be/#org 
is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type 
Bedrijf → http://www.w3.org/ns/regorg#RegisteredOrganization 
Een identifier voor jouw bedrijf en 
jij bent baas over de betekenis.
Mind the ambiguity
E.g., I’m launching a new company 
{mynewcompany} → http://{mynewcompany}.be/#org 
is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type 
Bedrijf → http://www.w3.org/ns/regorg#RegisteredOrganization 
{mynewcompany} → http://{mynewcompany}.be/#org 
heeft een home page → http://xmlns.com/foaf/0.1/homepage 
http://{mynewcompany}.be/
What URIs should I use?
Publishing methods 
1. Data dumps 
2. Triples within HTML pages 
3. JSON → JSON-LD web services 
4. Triple pattern fragments
Data dumps 
http://wiki.dbpedia.org/Downloads2014 
→ all facts in 1 file
Triples within HTML
Triples within HTML
JSON API 
http://{address to API document on Empire State}
JSON-LD API
Triple Pattern Fragments server 
iMinds → is a → company 
?subject → ?predicate → ?object
Triple Pattern Fragments clients
Questions?

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Basics of Open Data: what you need to know by Wouter Degadt & Pieter Colpaert

  • 1. Data → open and linked Wouter Degadt & Pieter Colpaert wouter.degadt@leiedal.be & pieter.colpaert@okfn.org
  • 2. Programme 1. The basics Data → Open Data → Linked Data 1. Linked Open Data How to publish data?
  • 3. Data Wikipedia says: English (disambiguation): data is uninterpreted information English (computing): is any sequence of symbols given meaning by specific acts of interpretation. Dutch: data is the plural of datum, which is an observation of a fact
  • 6. process legal technical syntactic object semantic ↓ Querying Would the data governance be able to be merged? Are you legally allowed to merge 2 datasets? Can you connect the communication channels? e.g., merge a dataset published as a CD with a dataset published using floppy disk What’s the interoperability of the serialisation formats? E.g., JSON vs. PDF? What can you request to the server? Do the words in the one dataset mean the same as the words in the other? How easy is it to ask certain questions over the borders of the dataset?
  • 7. Open Data Because non-personal data increases in value when others reuse it
  • 8. reuse is allowed Data on the web reuse in a gray zone unauthorised reuse
  • 10. How can we find open data? It’s made available through open data portals http://data.gov.uk, http://datahub.io, http://open-data.europa.eu, http://data.gent.be, … Via links in existing datasets e.g., http://dbpedia.org/resource/Ghent
  • 11. Linked Data Because it is impossible to store all the world’s knowledge on one machine
  • 12. name type same as location iMinds company IBBT Gaston Crommenlaan 8 { “iMinds” : { “type” : “company”, “same as” : “IBBT, “location” : “Gaston Crommenlaan 8” } } <iMinds> <type>company</type> <sameas>IBBT</sameas> <location> Gaston Crommenlaan 8 </location> </iMinds> Table / CSV / Spreadsheet JSON XML
  • 13. name type same as location iMinds company IBBT Gaston Crommenlaan 8 <iMinds> <type> <company> . <iMinds> <sameas> <IBBT> . <iMinds> <vestiging> “Gaston Crommenlaan 8” . Table / CSV / Spreadsheet triples JSON XML { “iMinds” : { “type” : “company”, “same as” : “IBBT, “location” : “Gaston Crommenlaan 8” } } <iMinds> <type>company</type> <sameas>IBBT</sameas> <location> Gaston Crommenlaan 8 </location> </iMinds>
  • 14. Machine 1 Machine 2 Machine 3 iMinds same as IBBT World Wide Web iMinds is a company IBBT located at Gaston Crommenlaan 8
  • 15. Probleem semantic interoperability The word company is ambiguous. How can we make sure that machines understand each other? What about “is a”? and what about “iMinds”?
  • 16. Solution Uniform Resource Identifiers (URI’s) iMinds → http://data.kbodata.be/organisation/0866_386_380#id is a → http://www.w3.org/1999/02/22-rdf-syntax-ns#type Company → http://www.w3.org/ns/regorg#RegisteredOrganization een triple = is an atomary piece of data (a datum or a fact) that cannot be misunderstood on machine-level in a Web context
  • 17. iMinds compa ny is a iMinds → http://data.kbodata.be/organisation/0866_386_380#id is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type Company → http://www.w3.org/ns/regorg#RegisteredOrganization
  • 18. Company register iMinds compa ny is a Open Knowledge Belgium TVH Maes …
  • 19. company register address database … Government Service X
  • 20. Linked Open Data cloud: de verzameling van biljoenen triples gepubliceerd via het Web
  • 21. Summary New terms: data quality, data interoperability, triples, open data, linked open data cloud Linked Open Data means: making your data more interoperable with other datasets on the web by using URIs as identifiers and triples as atomary building blocks
  • 22. Data publishing iMinds → http://data.kbodata.be/organisation/0866_386_380#id is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type Bedrijf → http://www.w3.org/ns/regorg#RegisteredOrganization
  • 23. Linked Data principles 1. Use a URI for every term 2. Dereference these URIs over HTTP 3. Return useful information 4. Add links towards useful sources
  • 24. E.g., I’m launching a new company {mynewcompany} → http://{mynewcompany}.be/#org is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type Bedrijf → http://www.w3.org/ns/regorg#RegisteredOrganization Een identifier voor jouw bedrijf en jij bent baas over de betekenis.
  • 26. E.g., I’m launching a new company {mynewcompany} → http://{mynewcompany}.be/#org is een → http://www.w3.org/1999/02/22-rdf-syntax-ns#type Bedrijf → http://www.w3.org/ns/regorg#RegisteredOrganization {mynewcompany} → http://{mynewcompany}.be/#org heeft een home page → http://xmlns.com/foaf/0.1/homepage http://{mynewcompany}.be/
  • 28. Publishing methods 1. Data dumps 2. Triples within HTML pages 3. JSON → JSON-LD web services 4. Triple pattern fragments
  • 32. JSON API http://{address to API document on Empire State}
  • 34. Triple Pattern Fragments server iMinds → is a → company ?subject → ?predicate → ?object

Hinweis der Redaktion

  1. Hoe data hergebruiken komt na de pauze aan de hand van concrete voorbeelden
  2. Wat betekent het woord data precies?
  3. Is dit goeie data? Waarom? Voorstellen om de data beter te maken? https://github.com/datasets/employment-us/blob/master/archive/aat1.txt 2 soorten feedback: Over de structuur van de data → hoe snel bruikbaar voor mijn use-case Over de inhoud van de data → hoe dicht bij de realiteit
  4. Categorisaties van interoperabiliteit tussen 2 datasets verschillen enorm afhangende van de context. Als je ergens over interoperabiliteit leest, bekijk heel goed wat er nu net bedoeld wordt. Deze categorisatie is samengebracht uit verschillende literatuur: ISA Rezaei
  5. Alle data die nu al op uw website staat zouden moeten kunnen worden hergebruikt voor andere doeleinden. Zo bouwen we aan een gedecentraliseerde kennisdatabank. Bvb: je doet een evenement, je hebt contactgegevens van uw werknemers, je publiceert aankomsttijden van bussen, enzovoort. Laat anderen bouwen bovenop jouw website.
  6. Belangrijke hier is: interoperabiliteit
  7. http://dbpedia.org/resource/Earth
  8. Dit is de site van visit ghent