Abstract
Linked Open Data is becoming increasingly important for Geographical Information Systems because most of the sources available on the Web are free of charge. In this work, we present an approach for integrating heterogeneous data located in various public organizations. We address the concepts and technologies which allow for visualizing flood information available from linked open data sources using geographical information systems. The proposed approach adds to the decision-making process, specially in the context of minimizing damage caused by floods. This work also contributes to reducing costs to obtain information beyond organization boundaries by using Semantic Web technologies.
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Notes
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As systems databases make use of SQL to query records in databases, SPARQL is a query language for retrieving information in RDF graphs [15].
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Resource Description Framework (RDF) is a language for representing information on the Web and designed for situations where information needs to be processed by applications, rather than simply being shown to people [14].
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Azevedo, P.C.N., Pinto, V.A., Bastos, G.S., Parreiras, F.S. (2016). Using Linked Open Data in Geographical Information Systems. In: Grueau, C., Gustavo Rocha, J. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2015. Communications in Computer and Information Science, vol 582. Springer, Cham. https://doi.org/10.1007/978-3-319-29589-3_10
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