Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4978328 | Environmental Modelling & Software | 2017 | 14 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
L. Oliva-Felipe, I. Gómez-Sebastià , M. Verdaguer, M. Sà nchez-Marrè, M. Poch, U. Cortés,