NIF4OGGD - NLP interchange format for open German governmental data

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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.

OriginalspracheEnglisch
TitelProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
HerausgeberNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
Anzahl der Seiten5
ErscheinungsortReykjavik, Iceland
VerlagEuropean Language Resources Association (ELRA)
Erscheinungsdatum05.2014
Seiten3524-3528
ISBN (elektronisch)9782951740884
PublikationsstatusErschienen - 05.2014
Extern publiziertJa
Veranstaltung9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Island
Dauer: 26.05.201431.05.2014
Konferenznummer: 9
http://www.lrec-conf.org/proceedings/lrec2014/index.html

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