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<identifier>oai:HAL:lirmm-01230140v1</identifier>
<datestamp>2018-01-11</datestamp>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Towards Geographic Requirements Engineering</title>
<creator>Touzani, Mounir</creator>
<creator>Laurent, Anne</creator>
<creator>Libourel Rouge, Thérèse</creator>
<creator>Quinqueton, Joël</creator>
<contributor>Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Département Environnement et Ressources [Montpellier] (ESPACE-DEV) ; Université des Antilles et de la Guyane (UAG) - Université de la Réunion (UR) - Université de Montpellier (UM)</contributor>
<contributor>Agents, Apprentissage, Contraintes (COCONUT) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>2nd International Conference on Knowledge Management, Information and Knowledge Systems</source>
<source>KMIKS: Knowledge Management, Information and Knowledge Systems</source>
<coverage>Hammamet, Tunisia</coverage>
<identifier>lirmm-01230140</identifier>
<identifier>https://hal-lirmm.ccsd.cnrs.fr/lirmm-01230140</identifier>
<source>https://hal-lirmm.ccsd.cnrs.fr/lirmm-01230140</source>
<source>KMIKS: Knowledge Management, Information and Knowledge Systems, Apr 2015, Hammamet, Tunisia. 2nd International Conference on Knowledge Management, Information and Knowledge Systems, 2015, 〈http://2015.kmiks.net〉</source>
<source>http://2015.kmiks.net</source>
<language>en</language>
<subject lang=en>Geographic Ontologies</subject>
<subject lang=en>Geographic Information</subject>
<subject lang=en>Requirements Engineering</subject>
<subject lang=en>Information management systems</subject>
<subject>[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>It is now well recognized that information management systems often deal with geographic information even if they often do not take advantage of it. In these systems, requirements engineering (RE) is becoming more and more important in helping stakeholders to model their requirements regarding the quality of the data.However, to date, few RE projects take geographic information and geographic constraints into account. We thus propose to study in this paper the question of managing such geographic constraints in the framework of RE. We propose an extension of the RE model and its implementation within the KAOS framework, and the use of geographic ontologies</description>
<date>2015-04-16</date>
</dc>
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