A Conceptual Building-Block and Practical OpenStreetMap-Interface for Sharing References to Hydrologic Features

  • Werner LeyhEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 600)


Disaster related scientific data is multidisciplinary by nature, and comprises data entities from observations, experiments, surveys, simulations, models, and higher-order assemblies, along with the associated information to describe and interpret the data. One of the essential elements of life on this planet is freshwater. Sustainable development with disaster preparedness therefore demands sustainable management of the world’s limited freshwater resources. However, water resources cannot be properly managed unless we know where they are, in what quantity and quality, and how variable they are likely to be in the foreseeable future. The present work with AGORA’s SDI-NODE focuses on connecting dispersed disaster-relevant data to enable easier and faster discovery and access of disaster-related data. The technical framework of environmental data aggregation and unified data sharing method is explored for distributed data integration with a “LOD-enabled SDI-node”.


Natural risk management Flood risk model Spatial Data Infrastructure (SDI) Metadata Semantic Web Interoperability WikiData OpenStreetMap (OSM) Citizen Science (CS) Volunteered Geographic Information (VGI) Ontology Controlled vocabulary 



This research has been supported by the Brazilian Capes Foundation (Programa de Apoio ao Ensino e à Pesquisa Científica e Tecnológica em Desastres Naturais, Pró - Alertas). We also thank Microsoft Research for offering free access to cloud computing resources based on the Microsoft AZURE framework for the present research project (Microsoft Azure sponsorship for University of Sao Paulo till 2016/05/01).


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer Science, ICMCUniversity of São Paulo, USPSão CarlosBrazil

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