Show simple item record

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorArru, Maude
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorNegre, Elsa
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorRosenthal-Sabroux, Camille
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorGrundstein, Michel
dc.date.accessioned2016-11-03T16:19:09Z
dc.date.available2016-11-03T16:19:09Z
dc.date.issued2016
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/15920
dc.language.isoenen
dc.subjectInformation and Knowledge Systemsen
dc.subjectKnowledge Integrationen
dc.subjectEarly-Warning Systemsen
dc.subjectDecision Supporten
dc.subjectFire Safetyen
dc.subject.ddc003en
dc.titleTowards a responsible Early-Warning System: knowledge implications in decision support designen
dc.typeCommunication / Conférence
dc.description.abstractenWarnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early-warnings. In a socially and environmentally responsible word, we need effective Early-Warning Systems (EWS). EWS are Information and Knowledge Systems dedicated to protect people against disasters damages. Such systems are designed to integrate data, information and knowledge from various sources and actors who do not usually interact to issue early-warnings. This paper introduces knowledge implications in EWS decision support design in general, with a discussion on communication processes between data, information and knowledge. We propose a knowledge-oriented vision of EWS elements to examine existing systems and provide dynamic and flow-oriented models. In this perspective, we analyze knowledge integration processes in the design of the fire safety system of our University.en
dc.identifier.citationpages12 p.en
dc.relation.ispartoftitleIEEE 10th International Conference on Research Challenges in Information Science (RCIS) - Proceedingsen
dc.relation.ispartofpublnameIEEE Pressen
dc.relation.ispartofdate2016
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-1-4799-8711-5en
dc.relation.conftitle10th International Conference on Research Challenges in Information Science (RCIS)en
dc.relation.confdate2016-06
dc.relation.confcityGrenobleen
dc.relation.confcountryFranceen
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/RCIS.2016.7549288en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2016-09-24T12:28:29Z
hal.identifierhal-01391752*
hal.version1*
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record