A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil
Patrícia Carolina Neves Azevedo, Guilherme Sousa Bastos, Fernando Silva Parreiras
2015
Abstract
The availability of open government data offers an easy way to mix and match these data to create new knowledge. Geographic Information Systems powered by Semantic Web technologies and linked data result in an integration of data from multiple sources, facilitating its use and enhancing the discovery and dissemination of new knowledge. In this work, we present a prototype application that integrates heterogeneous data located in various public organizations, related to flooding in Rio Doce Basin – Brazil. For this purpose, data were converted to RDF format, linked and displayed on a Geographic Information System, through SPARQL queries. We validate our approach using a proof of concept. The results show that our proposal of liking open data about flood information is able to answer the identified competency questions.
References
- Berners-Lee, T., Hendler, J., Lassila, O., et al. (2001). The semantic web. Scientific american, 284(5):28-37.
- Bizer, C., Heath, T., and Berners-Lee, T. (2009). Linked data-the story so far. International Journal on Semantic Web and Information Systems, 5(3):1-22.
- Bizer, C. and Seaborne, A. (2004). D2rq-treating non-rdf databases as virtual rdf graphs. In Proceedings of ISWC2004, volume 2004.
- Brasil (2011). Law on Access to Public Information. Law Number 12.527/2011.
- Burrough, P. A., McDonnell, R., Burrough, P. A., and McDonnell, R. (1998). Principles of geographical information systems, volume 333. Oxford university press.
- Card, S. K., MacKinlay, J. D., and Schneiderman, B. (1999). Readings in information visualization: using vision to think. Interactive Technologies Series. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
- Collins, T. (2004). Disaster risk for floods.
- Geroimenko, V. and Chen, C. (2003). Visualizing the Semantic Web: Xml-Based Internet and Information Visualization. Springer-Verlag GmbH.
- Gür, N., Díaz, L., and Kauppinen, T. (2012). Gi systems for public health with an ontology based approach. In AGILE2012, Avignon, France.
- Herman, I. (2012). Tutorial on semantic web technologies. Presentation. Available on http://www.w3.org/ People/Ivan/CorePresentations/SWTutorial/.
- Johnson, S. (2006). The Ghost Map: The Story of London's Most Terrifying Epidemic-and how it Changed Science, Cities, and the Modern World. Riverhead Books.
- Kraak, J. and Ormeling, F. J. (2003). Cartography: visualization of geospatial data. Prentice Hall.
- Manola, F. and Miller, E., editors (2004). RDF Primer. W3C Recommendation. W3C.
- PrudHommeaux, E., Seaborne, A., et al. Sparql query language for rdf. W3c recommendation, W3C.
- Vilches-Blázquez, L. M., Villazón-Terrazas, B., Saquicela, V., de León, A., Corcho, O., and Gómez-Pérez, A. (2010). Geolinked data and inspire through an application case. In SIGSPATIAL 2010, GIS 7810, pages 446-449, New York, NY, USA. ACM.
Paper Citation
in Harvard Style
Carolina Neves Azevedo P., Sousa Bastos G. and Silva Parreiras F. (2015). A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil . In Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-099-4, pages 227-232. DOI: 10.5220/0005465502270232
in Bibtex Style
@conference{gistam15,
author={Patrícia Carolina Neves Azevedo and Guilherme Sousa Bastos and Fernando Silva Parreiras},
title={A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil},
booktitle={Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2015},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005465502270232},
isbn={978-989-758-099-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil
SN - 978-989-758-099-4
AU - Carolina Neves Azevedo P.
AU - Sousa Bastos G.
AU - Silva Parreiras F.
PY - 2015
SP - 227
EP - 232
DO - 10.5220/0005465502270232