NIF4OGGD - NLP Interchange Format for Open German Governmental Data

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

Abstract
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.
Anthology ID:
L14-1607
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3524–3528
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Mohamed Sherif, Sandro Coelho, Ricardo Usbeck, Sebastian Hellmann, Jens Lehmann, Martin Brümmer, and Andreas Both. 2014. NIF4OGGD - NLP Interchange Format for Open German Governmental Data. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3524–3528, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
NIF4OGGD - NLP Interchange Format for Open German Governmental Data (Sherif et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf
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