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The Nobel Prize as Linked Data 
metasolutions.se 
2014-10-24 
Matthias Palmér 
matthias@metasolutions.se 
PhD from KTH with focus on: 
Linked Data based Webbapplications
Who are MetaSolutions 
Publish 
Import 
Edit 
User 
Interface 
LODify 
EntryScape 
Customer 
adaptions 
A technology company that: 
➔ can manage your Linked Data in the cloud 
➔ provides an Open Source and collaborative Linked Data Plattform 
➔ provides consultancy services around Linked Data
Who are Nobel Media 
To inform a global 
audience about Nobel 
Laureates and their 
discoveries, inspiring 
engagement in Nobel 
related areas of science, 
literature and peace. 
Digital Media 
Broadcast 
Events
Why Nobelprizes as Linked Data 
Phase 1 - expose Linked Data externally 
1. Spread information on Nobelprizes 
2. Enable others to build apps or services 
3. Provide opportunities for more in-depth analyzes 
Phase 2 - use the Linked Data internally 
4. Retrieve external information for internal use 
5. Validate and strengthen master data 
6. Better coverage for different target groups
Phase 1 - expose Linked Data 
Deciding on a Linked Data Expression 
1. Reuse existing vocabularies 
2. Define new vocabulary 
3. Document: specification + RDF-schema 
4. Describe and publish dataset information 
Expose Linked Data from Database 
1. Set up infrastructure with replicated Database 
2. Configure LODify platform, scalability 
Interlink with other datasets 
1. Reconciliation with DBPedia 
2. Extend Database
Vocabulary 
Vocabularies reused 
● DCTerms 
● FOAF 
● DBPedia-ontology 
● RDF and RDF Schema (naturally) 
New vocabulary 
● 10 classes 
● 14 properties
Linked Data for Nobelprizes
Dataset information published 
Rights 
● Creative Commons Zero (CC0) 
● “As is” “As available” service 
● “Fair use” demand 
Publication of dataset 
● in CKAN installation at datahub.io 
● DCAT-AP and inclusion in öppnadata.se in progress 
(VINNOVA funded project, will be at dcat-editor.com)
SPARQL exemple 
Swedish female Nobelprize laureates: 
SELECT DISTINCT ?label ?motivation WHERE { 
?laureate rdf:type nobel:Laureate . 
?laureate dbpedia-owl:birthPlace <http://data.nobelprize. 
org/resource/country/Sweden> . 
?laureate foaf:gender "female" . 
?laureate nobel:laureateAward ?award . 
?award rdfs:label ?label . 
optional { 
?award nobel:motivation ?motivation . 
FILTER (langMatches(lang(?motivation), "sv")) 
} 
} 
LIMIT 10 
Run the example!
SPARQL exempel 2 
Nobelprize laureates who are born in Sweden and share the price with someone else. 
SELECT DISTINCT ?name WHERE { 
?laureate dbpedia-owl:birthPlace <http://data.nobelprize. 
org/resource/country/Sweden> . 
?laureate nobel:laureateAward ?award . 
?award nobel:share ?share . 
?laureate foaf:name ?name . 
FILTER (xsd:int(?share) > 1 ) 
} 
Run the example!
Phase 1 - reaction at Nobel Media 
● Good that external parties can use our data. 
● But what do we gain ourselfs from Linked Data? 
● How can we use linked data ourselves? 
● How are we a part of the bigger LOD cloud?
How do we eat use our own dog food 
Linked Data?
Phase 2 - use Linked Data internally 
Enhance webpages by including: 
● Laureate information from DBPedia 
● Important publications from pubmed 
(via links to bio2rdf and linkedlifedata) 
● An embedded Linked Data Browser 
Better position Nobel Prizes in the LOD cloud 
● DBPedia, freebase, viaf, yago, bio2rdf, 
linkedlifedata 
Improved quality of own data by comparing with 
other sources
Truly Linked Nobel Prizes! 
Nobel Laureate 
DBpedia 
Freebase 
YAGO 
Nobel Prize 
VIAF 
... 
Bio2RDF 
Linked Life Data 
...
New better webpages
Linked Data Cache 
● Neccessary due to 
○ different levels of service 
(DBpedia sometimes slow or down) 
○ Reduce amount of requests 
(i.e. labels on linked resources in same request) 
○ Unified RDF format 
(I.e. write code directly against RDF/JSON) 
● Challenges in configuration 
○ Cache for how long 
○ Which properties to follow 
○ Only include suitable subsets of available RDF
Linked Data Browser
Linked Data Browser 
● Characteristics 
○ Ordered presentation 
○ Labels + explanatory texts 
○ Groupings 
○ Hide URI:s 
○ If translations exists, show only one 
○ Handle links to non-Linked Data resources 
● Technically 
○ Based on RDForms (javascript library) 
○ Configurable for different vokabularies 
○ Depends on a Linked Data Cache
Phase 2 architecture
Data, documentation, article, press 
data.nobelprize.org 
dokumentation 
article on semanticweb.com 
paper at ISWC-Dev
Summary 
Added value for Nobel Media as an organization 
● Increased amount of quality information 
● Pushes towards a better informationmodel, 
specialization and positioning with links 
Added value for Nobel Medias target groups 
● Increased access and overview of information 
● Open and standardized information for developers 
Added value for the LOD community 
● LDC + LDB should be useful in other settings
Nobel Prizes in the LOD Cloud 2014 
Thanks for listening! 
Matthias Palmér 
matthias@metasolutions.se

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Nobel Prizes as Linked Open Data

  • 1. The Nobel Prize as Linked Data metasolutions.se 2014-10-24 Matthias Palmér matthias@metasolutions.se PhD from KTH with focus on: Linked Data based Webbapplications
  • 2. Who are MetaSolutions Publish Import Edit User Interface LODify EntryScape Customer adaptions A technology company that: ➔ can manage your Linked Data in the cloud ➔ provides an Open Source and collaborative Linked Data Plattform ➔ provides consultancy services around Linked Data
  • 3. Who are Nobel Media To inform a global audience about Nobel Laureates and their discoveries, inspiring engagement in Nobel related areas of science, literature and peace. Digital Media Broadcast Events
  • 4. Why Nobelprizes as Linked Data Phase 1 - expose Linked Data externally 1. Spread information on Nobelprizes 2. Enable others to build apps or services 3. Provide opportunities for more in-depth analyzes Phase 2 - use the Linked Data internally 4. Retrieve external information for internal use 5. Validate and strengthen master data 6. Better coverage for different target groups
  • 5. Phase 1 - expose Linked Data Deciding on a Linked Data Expression 1. Reuse existing vocabularies 2. Define new vocabulary 3. Document: specification + RDF-schema 4. Describe and publish dataset information Expose Linked Data from Database 1. Set up infrastructure with replicated Database 2. Configure LODify platform, scalability Interlink with other datasets 1. Reconciliation with DBPedia 2. Extend Database
  • 6. Vocabulary Vocabularies reused ● DCTerms ● FOAF ● DBPedia-ontology ● RDF and RDF Schema (naturally) New vocabulary ● 10 classes ● 14 properties
  • 7. Linked Data for Nobelprizes
  • 8. Dataset information published Rights ● Creative Commons Zero (CC0) ● “As is” “As available” service ● “Fair use” demand Publication of dataset ● in CKAN installation at datahub.io ● DCAT-AP and inclusion in öppnadata.se in progress (VINNOVA funded project, will be at dcat-editor.com)
  • 9. SPARQL exemple Swedish female Nobelprize laureates: SELECT DISTINCT ?label ?motivation WHERE { ?laureate rdf:type nobel:Laureate . ?laureate dbpedia-owl:birthPlace <http://data.nobelprize. org/resource/country/Sweden> . ?laureate foaf:gender "female" . ?laureate nobel:laureateAward ?award . ?award rdfs:label ?label . optional { ?award nobel:motivation ?motivation . FILTER (langMatches(lang(?motivation), "sv")) } } LIMIT 10 Run the example!
  • 10. SPARQL exempel 2 Nobelprize laureates who are born in Sweden and share the price with someone else. SELECT DISTINCT ?name WHERE { ?laureate dbpedia-owl:birthPlace <http://data.nobelprize. org/resource/country/Sweden> . ?laureate nobel:laureateAward ?award . ?award nobel:share ?share . ?laureate foaf:name ?name . FILTER (xsd:int(?share) > 1 ) } Run the example!
  • 11. Phase 1 - reaction at Nobel Media ● Good that external parties can use our data. ● But what do we gain ourselfs from Linked Data? ● How can we use linked data ourselves? ● How are we a part of the bigger LOD cloud?
  • 12. How do we eat use our own dog food Linked Data?
  • 13. Phase 2 - use Linked Data internally Enhance webpages by including: ● Laureate information from DBPedia ● Important publications from pubmed (via links to bio2rdf and linkedlifedata) ● An embedded Linked Data Browser Better position Nobel Prizes in the LOD cloud ● DBPedia, freebase, viaf, yago, bio2rdf, linkedlifedata Improved quality of own data by comparing with other sources
  • 14. Truly Linked Nobel Prizes! Nobel Laureate DBpedia Freebase YAGO Nobel Prize VIAF ... Bio2RDF Linked Life Data ...
  • 16. Linked Data Cache ● Neccessary due to ○ different levels of service (DBpedia sometimes slow or down) ○ Reduce amount of requests (i.e. labels on linked resources in same request) ○ Unified RDF format (I.e. write code directly against RDF/JSON) ● Challenges in configuration ○ Cache for how long ○ Which properties to follow ○ Only include suitable subsets of available RDF
  • 18. Linked Data Browser ● Characteristics ○ Ordered presentation ○ Labels + explanatory texts ○ Groupings ○ Hide URI:s ○ If translations exists, show only one ○ Handle links to non-Linked Data resources ● Technically ○ Based on RDForms (javascript library) ○ Configurable for different vokabularies ○ Depends on a Linked Data Cache
  • 20. Data, documentation, article, press data.nobelprize.org dokumentation article on semanticweb.com paper at ISWC-Dev
  • 21. Summary Added value for Nobel Media as an organization ● Increased amount of quality information ● Pushes towards a better informationmodel, specialization and positioning with links Added value for Nobel Medias target groups ● Increased access and overview of information ● Open and standardized information for developers Added value for the LOD community ● LDC + LDB should be useful in other settings
  • 22. Nobel Prizes in the LOD Cloud 2014 Thanks for listening! Matthias Palmér matthias@metasolutions.se