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Using spatial hypertext to visualize composite knowledge in emergency responses

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dc.contributor.author Canos, Jose H.
dc.contributor.author Penades, Maria Carmen
dc.contributor.author Solis, Carlos
dc.contributor.author Borges, Marcos R.S.
dc.contributor.author Llavador, Manuel
dc.date.accessioned 2011-02-02T20:58:39Z
dc.date.available 2011-02-02T20:58:39Z
dc.date.issued 2010
dc.identifier.uri http://hdl.handle.net/10344/709
dc.description peer-reviewed en_US
dc.description.abstract Having the right information at the right time is crucial to make decisions during emergency responses. To fulfill this requirement, emergency management systems must provide emergency managers with knowledge management and visualization tools. The goal is twofold: on one hand, to organize knowledge coming from different sources, mainly the emergency response plans (the formal knowledge) and the information extracted from the emergency development (the contextual knowledge); on the other hand, to enable effective access to information. Formal and contextual knowledge sets are mostly disjoint; however, there are cases in which a formal knowledge piece may be updated with some contextual information, constituting what we call the composite knowledge. In this paper, we extend a knowledge framework with the notion of composite knowledge, and use spatial hypertext to visualize this type of knowledge. We illustrate our proposal with a case study on accessing to information during an emergency response in an underground transportation system. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Proceedings of the 7th International ISCRAM Conference – Seattle, USA, May 2010;p.17
dc.relation.uri http://www.scribd.com/doc/35645370/ISCRAM2010Proceedings-withAbstractsandLinkstoFullPapers
dc.subject knowledge management en_US
dc.subject emergency response en_US
dc.subject spatial hypertext en_US
dc.title Using spatial hypertext to visualize composite knowledge in emergency responses en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en
dc.contributor.sponsor SFI
dc.contributor.sponsor MEC
dc.contributor.sponsor Junta de Comunidades de Castilla-La Mancha
dc.contributor.sponsor Generalitat Valenciana
dc.contributor.sponsor CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico – www.cnpq.br)
dc.contributor.sponsor CAPES/MECD Cooperation Program
dc.contributor.sponsor MEC-FPU
dc.relation.projectid 03/CE2/I303_1
dc.relation.projectid META (TIN-2006-15175-C05-01)
dc.relation.projectid DEEPEN (TIN2009-08084)
dc.relation.projectid INGENIO (PAC08-0154-9262)
dc.relation.projectid ACOMP07/216
dc.relation.projectid AP2005-3356
dc.relation.projectid Grant No:304252/2008-5
dc.relation.projectid Grant No: 480461/2009-0
dc.relation.projectid project #169/PHB2007-0064-PC


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