NIF4OGGD - NLP interchange format for open German governmental data

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Mohamed Ahmed Sherif
  • Sandro Coelho
  • Ricardo Usbeck
  • Sebastian Hellmann
  • Jens Lehmann
  • Martin Brümmer
  • Andreas Both

In the last couple of years the amount of structured open government data has increased significantly. Already now, citizens are able to leverage the advantages of open data through increased transparency and better opportunities to take part in governmental decision making processes. Our approach increases the interoperability of existing but distributed open governmental datasets by converting them to the RDF-based NLP Interchange Format (NIF). Furthermore, we integrate the converted data into a geodata store and present a user interface for querying this data via a keyword-based search. The language resource generated in this project is publicly available for download and also via a dedicated SPARQL endpoint.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
EditorsNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
Number of pages5
Place of PublicationReykjavik, Iceland
PublisherEuropean Language Resources Association (ELRA)
Publication date05.2014
Pages3524-3528
ISBN (electronic)9782951740884
Publication statusPublished - 05.2014
Externally publishedYes
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: 26.05.201431.05.2014
Conference number: 9
http://www.lrec-conf.org/proceedings/lrec2014/index.html

Bibliographical note

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