Remember Me
Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:

OpenAIRE is about to release its new face with lots of new content and services.
During September, you may notice downtime in services, while some functionalities (e.g. user registration, login, validation, claiming) will be temporarily disabled.
We apologize for the inconvenience, please stay tuned!
For further information please contact helpdesk[at]openaire.eu

fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Degbelo, Auriol (2016)
Publisher: Zenodo
Type: dataset
Subjects: RDF, Muenster, Germany, Unemployment, Population, Migration, Households, SocialInsuranceEmployees

This dataset is a curated statistical dataset from the Muenster City Council in RDF (Resource Description Framework) format. The City Council of Muenster has provided statistical datasets about Muenster covering the period 2010-2014 in PDF (Portable Document Format). Since PDF is not machine readable, students from the University of Muenster have tried to convert this statistical data into RDF, making therefore the data consumable by machines. The dataset covers five different topics:

  • Unemployment in Muenster
  • Population in Muenster
  • Migration in Muenster
  • Households of Muenster
  • Employees subject to social insurance in Muenster

As proofs of  the usefulness of the RDF data, the students built some nice visualizations. The visualizations can be accessed from:

  • https://git.io/vD547 (unemployment)
  • https://git.io/vD545 (population)
  • https://git.io/vD54d (migration)
  • https://git.io/vD54b (households)
  • https://git.io/vD5Bv (employees subject to social insurance)
  • No related publications.
  • No related research data.

Share - Bookmark

Download from

Funded by projects

  • EC | GEO-C

Cite this research data

Collected from

Cookies make it easier for us to provide you with our services. With the usage of our services you permit us to use cookies.
More information Ok