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 via a dedicated SPARQL endpoint.
%0 Conference Paper
%1 NIF4OGGD
%A Sherif, Mohamed Ahmed
%A Coelho, Sandro
%A Usbeck, Ricardo
%A Hellmann, Sebastian
%A Lehmann, Jens
%A Brümmer, Martin
%A Both, Andreas
%B The 9th edition of the Language Resources and Evaluation Conference, 26-31 May, Reykjavik, Iceland
%D 2014
%K 2014 Lidmole MOLE bruemmer dice group\_aksw hellmann kilt lehmann nif4oggd sherif simba usbeck
%T NIF4OGGD - NLP Interchange Format for Open German Governmental Data
%U http://svn.aksw.org/papers/2014/LREC_NIF4OGGD/public.pdf
%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 via a dedicated SPARQL endpoint.
@inproceedings{NIF4OGGD,
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 via a dedicated SPARQL endpoint.},
added-at = {2023-08-17T12:39:55.000+0200},
author = {Sherif, Mohamed Ahmed and Coelho, Sandro and Usbeck, Ricardo and Hellmann, Sebastian and Lehmann, Jens and Br{\"u}mmer, Martin and Both, Andreas},
bdsk-url-1 = {http://svn.aksw.org/papers/2014/LREC\_NIF4OGGD/public.pdf},
biburl = {https://www.bibsonomy.org/bibtex/22984866f5f21c5521c52aba6c1ad673b/dice-research},
booktitle = {The 9th edition of the Language Resources and Evaluation Conference, 26-31 May, Reykjavik, Iceland},
interhash = {9585fe2c9e94a80fc18df40fe184300c},
intrahash = {2984866f5f21c5521c52aba6c1ad673b},
keywords = {2014 Lidmole MOLE bruemmer dice group\_aksw hellmann kilt lehmann nif4oggd sherif simba usbeck},
timestamp = {2023-08-17T12:39:55.000+0200},
title = {NIF4OGGD - NLP Interchange Format for Open German Governmental Data},
url = {http://svn.aksw.org/papers/2014/LREC_NIF4OGGD/public.pdf},
year = 2014
}