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Authors: Patrícia Carolina Neves Azevedo 1 ; Guilherme Sousa Bastos 2 and Fernando Silva Parreiras 3

Affiliations: 1 CPRM and FUMEC University, Brazil ; 2 Federal University of Itajubá, Brazil ; 3 FUMEC University, Brazil

Keyword(s): Linked Open Data, Geographical Information System, Flood, Semantic Web.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Web Applications

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.

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Paper citation in several formats:
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 - GISTAM; ISBN 978-989-758-099-4; ISSN 2184-500X, SciTePress, pages 227-232. DOI: 10.5220/0005465502270232

@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 - GISTAM},
year={2015},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005465502270232},
isbn={978-989-758-099-4},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - 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
IS - 2184-500X
AU - Carolina Neves Azevedo, P.
AU - Sousa Bastos, G.
AU - Silva Parreiras, F.
PY - 2015
SP - 227
EP - 232
DO - 10.5220/0005465502270232
PB - SciTePress

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