Reasoning about river basins: WaWO+ revisited

This paper characterizes part of an interdisciplinary research effort on Artificial Intelligence (AI) techniques and tools applied to Environmental Decision-Support Systems (EDSS). WaWO+ the ontology we present here, provides a set of concepts that are queried, advertised and used to support reasoni...

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Veröffentlicht in:Environmental modelling & software : with environment data news 2017-03, Vol.89, p.106-119
Hauptverfasser: Oliva-Felipe, L., Gómez-Sebastià, I., Verdaguer, M., Sànchez-Marrè, M., Poch, M., Cortés, U.
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper characterizes part of an interdisciplinary research effort on Artificial Intelligence (AI) techniques and tools applied to Environmental Decision-Support Systems (EDSS). WaWO+ the ontology we present here, provides a set of concepts that are queried, advertised and used to support reasoning about and the management of urban water resources in complex scenarios as a River Basin. The goal of this research is to increase efficiency in Data and Knowledge interoperability and data integration among heterogeneous environmental data sources (e.g., software agents) using an explicit, machine understandable ontology to facilitate urban water resources management within a River Basin. •Ontology to support reasoning in Urban Wastewater Systems.•Knowledge representation of river basin domain and legislation.•Extends a previous ontology focused on WWTP internals, including other stakeholders: households and industries.
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2016.11.009