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<publisher>HAL CCSD</publisher>
<title lang=en>Using Formal Concept Analysis to Extract a Greatest Common Model</title>
<creator>Amar, Bastien</creator>
<creator>Osman Guédi, Abdoulkader</creator>
<creator>Miralles, André</creator>
<creator>Huchard, Marianne</creator>
<creator>Libourel Rouge, Thérèse</creator>
<creator>Nebut, Clémentine</creator>
<contributor>Gestion de l'Eau, Acteurs, Usages (UMR G-EAU) ; Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) - Centre International des Hautes Études Agronomiques Méditerranéennes (CIHEAM) - AgroParisTech - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) - Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD)</contributor>
<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>Université de Djibouti ; Université de Djibouti</contributor>
<contributor>Fouille de données environnementales (TATOO) ; 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>
<contributor>Models And Reuse Engineering, Languages (MAREL) ; 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>
<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>
<description>International audience</description>
<source>ICEIS 2012: 14th International Conference on Enterprise Information Systems</source>
<source>ICEIS: International Conference on Enterprise Information Systems</source>
<coverage>Wroclaw, Poland</coverage>
<contributor>Leszek A. Maciaszek and Alfredo Cuzzocrea and José Cordeiro</contributor>
<publisher>SciTePress</publisher>
<identifier>lirmm-00727009</identifier>
<identifier>https://hal-lirmm.ccsd.cnrs.fr/lirmm-00727009</identifier>
<source>https://hal-lirmm.ccsd.cnrs.fr/lirmm-00727009</source>
<source>Leszek A. Maciaszek and Alfredo Cuzzocrea and José Cordeiro. ICEIS: International Conference on Enterprise Information Systems, Jun 2012, Wroclaw, Poland. SciTePress, ICEIS 2012: 14th International Conference on Enterprise Information Systems, 1, pp.27-37, 2012, 〈http://www.iceis.org/?y=2012〉</source>
<source>http://www.iceis.org/?y=2012</source>
<language>en</language>
<subject lang=en>Domain-concept</subject>
<subject lang=en>Core-concept</subject>
<subject lang=en>Model Factorization</subject>
<subject lang=en>Formal Concept Analysis</subject>
<subject lang=en>Greatest Common Model</subject>
<subject lang=en>Pesticide</subject>
<subject lang=en>Environmental Information System</subject>
<subject>[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]</subject>
<subject>[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]</subject>
<subject>[SDE] Environmental Sciences</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>Data integration and knowledge capitalization combine data and information coming from different data sources designed by different experts having different purposes. In this paper, we propose to assist the underlying model merging activity. For close models made by experts of various specialities, we partially automate the identification of a Greatest Common Model (GCM) which is composed of the common concepts (core concepts) of the different models. Our methodology is based on Formal Concept Analysis which is a method of data analysis based on lattice theory. A decision tree allows to semi-automatically classify concepts from the concept lattices and assist the GCM extraction. We apply our approach on the EIS-Pesticide project, an environmental information system which aims at centralizing knowledge and information produced by different specialized teams.</description>
<date>2012-06-28</date>
</dc>
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