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Supporting decision making in urban wastewater systems using a knowledge-based approach
dc.contributor.author | Aulinas, Montse |
dc.contributor.author | Nieves Sánchez, Juan Carlos |
dc.contributor.author | Cortés García, Claudio Ulises |
dc.contributor.author | Poch, Manel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2012-11-07T10:31:04Z |
dc.date.created | 2011-05-01 |
dc.date.issued | 2011-05-01 |
dc.identifier.citation | Aulinas, M. [et al.]. Supporting decision making in urban wastewater systems using a knowledge-based approach. "Environmental modelling & software", 01 Maig 2011, vol. 26, núm. 5, p. 562-572. |
dc.identifier.issn | 1364-8152 |
dc.identifier.uri | http://hdl.handle.net/2117/16851 |
dc.description.abstract | The use of knowledge-based systems has been shown to be a suitable approach to support decision making in environmental systems. Capturing and managing the huge quantity of data/information that has to be considered is an intrinsic factor that makes environmental systems a sophisticated domain. Organizing this data in a naive way can impact the efficacy of any knowledge-based system. Another intrinsic factor is the variety of data sources, which can result in inconsistent, uncertain or incomplete knowledge bases when different data sources are considered. Accordingly, two central issues of a successful knowledge-based system are the organization of its knowledge base and the expressiveness of its specification language. In this paper, we introduce a stratified framework for structuring any environmental knowledge base. We will argue that a declarative specification language, such as Answer Set Programming, is expressive enough to capture environmental knowledge bases that are inconsistent, uncertain and incomplete. We also present an automata-based approach to manage actions in knowledge-based systems. By solving a use case, specifically the diagnosis of the safety of a particular industrial wastewater discharge in an urban wastewater system, we illustrate how to represent relevant abstractions to model related complex processes. We show that by using them it is also possible to automate the diagnosis process (in the present case, for example, to diagnose problems at a wastewater treatment plant and afterward in the river) and hence support the decision-making task. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria |
dc.subject | Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament de l'aigua |
dc.subject.lcsh | Decision support systems |
dc.subject.lcsh | Water quality management |
dc.subject.other | Urban wastewater system |
dc.subject.other | Industrial wastewater discharges |
dc.subject.other | Decision-support systems |
dc.subject.other | Knowledge management |
dc.subject.other | Answer set programming |
dc.title | Supporting decision making in urban wastewater systems using a knowledge-based approach |
dc.type | Article |
dc.subject.lemac | Sistemes d'ajuda a la decisió |
dc.subject.lemac | Aigua -- Qualitat -- Gestió |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.identifier.doi | 10.1016/j.envsoft.2010.11.009 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 4931241 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Aulinas, M.; NIEVES, J. C.; Cortes, C.; Poch, M. |
local.citation.publicationName | Environmental modelling & software |
local.citation.volume | 26 |
local.citation.number | 5 |
local.citation.startingPage | 562 |
local.citation.endingPage | 572 |
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