Summary of the paper

Title NIF4OGGD - NLP Interchange Format for Open German Governmental Data
Authors Mohamed Sherif, Sandro Coelho, Ricardo Usbeck, Sebastian Hellmann, Jens Lehmann, Martin Brümmer and 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.
Topics Corpus (Creation, Annotation, etc.), Semantic Web
Full paper NIF4OGGD - NLP Interchange Format for Open German Governmental Data
Bibtex @InProceedings{SHERIF14.780,
  author = {Mohamed Sherif and Sandro Coelho and Ricardo Usbeck and Sebastian Hellmann and Jens Lehmann and Martin Brümmer and andreas Both},
  title = {NIF4OGGD - NLP Interchange Format for Open German Governmental Data},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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