NIF4OGGD - NLP interchange format for open German governmental data

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

NIF4OGGD - NLP interchange format for open German governmental data

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

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
Editors	Nicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
Number of pages	5
Place of Publication	Reykjavik, Iceland
Publisher	European Language Resources Association (ELRA)
Publication date	05.2014
Pages	3524-3528
ISBN (Electronic)	9782951740884
Publication status	Published - 05.2014
Externally published	Yes
Event	9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland Duration: 26.05.2014 → 31.05.2014 Conference number: 9 http://www.lrec-conf.org/proceedings/lrec2014/index.html

Bibliographical note

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Research areas and keywords

NIF
NLP
Open data
Informatics
Business informatics

Access to Document

Cite this

Sherif, M. A., Coelho, S., Usbeck, R., Hellmann, S., Lehmann, J., Brümmer, M., & Both, A. (2014). NIF4OGGD - NLP interchange format for open German governmental data. In N. Calzolari, K. Choukri, S. Goggi, T. Declerck, J. Mariani, B. Maegaard, A. Moreno, J. Odijk, H. Mazo, S. Piperidis, & H. Loftsson (Eds.), Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 (pp. 3524-3528). (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf

Sherif, Mohamed Ahmed ; Coelho, Sandro ; Usbeck, Ricardo et al. / NIF4OGGD - NLP interchange format for open German governmental data. Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. editor / Nicoletta Calzolari ; Khalid Choukri ; Sara Goggi ; Thierry Declerck ; Joseph Mariani ; Bente Maegaard ; Asuncion Moreno ; Jan Odijk ; Helene Mazo ; Stelios Piperidis ; Hrafn Loftsson. Reykjavik, Iceland : European Language Resources Association (ELRA), 2014. pp. 3524-3528 (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014).

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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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year = "2014",

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Sherif, MA, Coelho, S, Usbeck, R, Hellmann, S, Lehmann, J, Brümmer, M & Both, A 2014, NIF4OGGD - NLP interchange format for open German governmental data. in N Calzolari, K Choukri, S Goggi, T Declerck, J Mariani, B Maegaard, A Moreno, J Odijk, H Mazo, S Piperidis & H Loftsson (eds), Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014, European Language Resources Association (ELRA), Reykjavik, Iceland, pp. 3524-3528, 9th International Conference on Language Resources and Evaluation, LREC 2014, Reykjavik, Iceland, 26.05.14. <http://www.lrec-conf.org/proceedings/lrec2014/pdf/780_Paper.pdf>

NIF4OGGD - NLP interchange format for open German governmental data. / Sherif, Mohamed Ahmed; Coelho, Sandro; Usbeck, Ricardo et al.
Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. ed. / Nicoletta Calzolari; Khalid Choukri; Sara Goggi; Thierry Declerck; Joseph Mariani; Bente Maegaard; Asuncion Moreno; Jan Odijk; Helene Mazo; Stelios Piperidis; Hrafn Loftsson. Reykjavik, Iceland: European Language Resources Association (ELRA), 2014. p. 3524-3528 (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

TY - CHAP

T1 - NIF4OGGD - NLP interchange format for open German governmental data

AU - Sherif, Mohamed Ahmed

AU - Coelho, Sandro

AU - Usbeck, Ricardo

AU - Hellmann, Sebastian

AU - Lehmann, Jens

AU - Brümmer, Martin

AU - Both, Andreas

N1 - Conference code: 9

PY - 2014/5

Y1 - 2014/5

N2 - 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.

AB - 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.

KW - NIF

KW - NLP

KW - Open data

KW - Informatics

KW - Business informatics

UR - https://www.scopus.com/pages/publications/85037137187

UR - https://www.mendeley.com/catalogue/0861e4d8-9e27-347c-b695-bfba479f1be1/

M3 - Article in conference proceedings

AN - SCOPUS:85037137187

T3 - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

SP - 3524

EP - 3528

BT - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

A2 - Calzolari, Nicoletta

A2 - Choukri, Khalid

A2 - Goggi, Sara

A2 - Declerck, Thierry

A2 - Mariani, Joseph

A2 - Maegaard, Bente

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Mazo, Helene

A2 - Piperidis, Stelios

A2 - Loftsson, Hrafn

PB - European Language Resources Association (ELRA)

CY - Reykjavik, Iceland

T2 - 9th International Conference on Language Resources and Evaluation, LREC 2014

Y2 - 26 May 2014 through 31 May 2014

ER -

Sherif MA, Coelho S, Usbeck R, Hellmann S, Lehmann J, Brümmer M et al. NIF4OGGD - NLP interchange format for open German governmental data. In Calzolari N, Choukri K, Goggi S, Declerck T, Mariani J, Maegaard B, Moreno A, Odijk J, Mazo H, Piperidis S, Loftsson H, editors, Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. Reykjavik, Iceland: European Language Resources Association (ELRA). 2014. p. 3524-3528. (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014).

NIF4OGGD - NLP interchange format for open German governmental data

Abstract

Bibliographical note

UN SDGs

Research areas and keywords

Access to Document

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Cite this