@inproceedings{sherif-etal-2014-nif4oggd,
title = "{NIF}4{OGGD} - {NLP} Interchange Format for Open {G}erman Governmental Data",
author = {Sherif, Mohamed and
Coelho, Sandro and
Usbeck, Ricardo and
Hellmann, Sebastian and
Lehmann, Jens and
Br{\"u}mmer, Martin and
Both, Andreas},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf",
pages = "3524--3528",
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.",
}
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%0 Conference Proceedings
%T NIF4OGGD - NLP Interchange Format for Open German Governmental Data
%A Sherif, Mohamed
%A Coelho, Sandro
%A Usbeck, Ricardo
%A Hellmann, Sebastian
%A Lehmann, Jens
%A Brümmer, Martin
%A Both, Andreas
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F sherif-etal-2014-nif4oggd
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf
%P 3524-3528
Markdown (Informal)
[NIF4OGGD - NLP Interchange Format for Open German Governmental Data](http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf) (Sherif et al., LREC 2014)
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).