The EU Knowledge Graph: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 11: | Line 11: | ||
* capitals of European Countries (like [https://linkedopendata.eu/entity/Q46 Athens] and [https://linkedopendata.eu/entity/Q52 Tallinn]) | * capitals of European Countries (like [https://linkedopendata.eu/entity/Q46 Athens] and [https://linkedopendata.eu/entity/Q52 Tallinn]) | ||
* DGs from the European Commission (like [https://linkedopendata.eu/wiki/Item:Q83 DG CNECT] and [https://linkedopendata.eu/wiki/Item:Q8361 DG REGIO]) | * DGs from the European Commission (like [https://linkedopendata.eu/wiki/Item:Q83 DG CNECT] and [https://linkedopendata.eu/wiki/Item:Q8361 DG REGIO]) | ||
* [https://query.linkedopendata.eu/#SELECT%20%28count%28%2a%29%20as%20%3Fc%29%20WHERE%20%7B%0A%3Fs%20wdt%3AP35%20wd%3AQ9934%20.%0A%7D 1 | * [https://query.linkedopendata.eu/#SELECT%20%28count%28%2a%29%20as%20%3Fc%29%20WHERE%20%7B%0A%3Fs%20wdt%3AP35%20wd%3AQ9934%20.%0A%7D 1 832 112] projects financed by the European Union under the [https://kohesio.eu/ Kohesio] project (like [https://linkedopendata.eu/wiki/Item:Q3700060] and [https://linkedopendata.eu/wiki/Item:Q101496]) | ||
* 537 000 beneficiaries of European projects, of which 10% could be linked back to Wikidata so that the corresponding data is complementing the information from the Commission (like the [https://linkedopendata.eu/wiki/Item:Q262833 University of Pisa]) | * 537 000 beneficiaries of European projects, of which 10% could be linked back to Wikidata so that the corresponding data is complementing the information from the Commission (like the [https://linkedopendata.eu/wiki/Item:Q262833 University of Pisa]) | ||
* [https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics the Nomenclature of Territorial Units for Statistics of 2016] (NUTS 2016), i.e. subdivisions of countries used for statistical purposes by Eurostat (like the [https://linkedopendata.eu/entity/Q2500884 Provincia di Asti]). | * [https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics the Nomenclature of Territorial Units for Statistics of 2016] (NUTS 2016), i.e. subdivisions of countries used for statistical purposes by Eurostat (like the [https://linkedopendata.eu/entity/Q2500884 Provincia di Asti]). | ||
Revision as of 07:02, 5 April 2023
Welcome to the EU Knowledge Graph!
This graph contains structured information about the European Union.
In particular, it contains information about:
- institutions of the European Union (like the European Parliament and the Council of the European Union)
- countries in the world and in particular countries in the European Union (like Hungary and Italy)
- capitals of European Countries (like Athens and Tallinn)
- DGs from the European Commission (like DG CNECT and DG REGIO)
- 1 832 112 projects financed by the European Union under the Kohesio project (like [1] and [2])
- 537 000 beneficiaries of European projects, of which 10% could be linked back to Wikidata so that the corresponding data is complementing the information from the Commission (like the University of Pisa)
- the Nomenclature of Territorial Units for Statistics of 2016 (NUTS 2016), i.e. subdivisions of countries used for statistical purposes by Eurostat (like the Provincia di Asti).
- buildings ([3]), canteens ([4]), cafeterias ([5]) and parkings ([6]) of the European Commission
- Linked Data solutions like ERA RCC([7]) or ArCo([8]). To add your Linked Data solution to the graph, request([9]) an account to the Publications Office of EU.
The query service can be accessed under https://query.linkedopendata.eu.
Instructions on how to connect an OpenRefine instance can be found here.
Exports of the data contained in the EU Knowledge Graph can be accessed under https://data.linkedopendata.eu.
New knowledge will be added continuously. If you are interested to collaborate, please contact us at CNECT-ECDORIS@ec.europa.eu.
For features requests and bug reports, please use https://github.com/ec-doris/EuKnowledgeGraph/issues.
Awards:
- Semantics 2021, "Best industry Contribution" ([10])
- ISWC 2021, "Candidate for best paper in the In-Use Track" ([11])