Résumé : Publiée dans le cadre du premier Congrès international d'histoire coloniale à Paris
Siècle(s) traité(s) : 20
Droits : Domaine public
Provenance : Ville de Pointe-à-Pitre. Réseau des bibliothèques
Permalien : http://www.manioc.org/patrimon/PAP11103
PAP11103

Éditeur(s) : HAL CCSD Universidad de Malaga
Résumé : International audience
The development of information systems follows a long and complex process in which various actors are involved. We report an experiment in which we observe the evolution of the analysis model of an information system through 15 successive versions. We use indicators on the underlying concept lattices built by applying Relational Concept Analysis (RCA) to each version. RCA is an extension of FCA which groups entities based on characteristics they share, including links to other entities. It here helps in analyzing their evolution. From this experience, we establish recommendations to monitor and verify the proper evolution of the analysis process.
CLA'2012: 9th International Conference on Concept Lattices and Applications
Fuengirola (Málaga), Spain

ISBN : 978-84-695-5252-0
lirmm-00743886
http://hal-lirmm.ccsd.cnrs.fr/lirmm-00743886
http://hal-lirmm.ccsd.cnrs.fr/lirmm-00743886/document

Éditeur(s) : HAL CCSD
Résumé : National audience
Nous présentons les premières phases d'un travail orienté vers la construction d'un thésaurus trilingue dédié à la biodiversité en méditerranée. Notre démarche se veut résolument synthétique et exploite à posteriori les dires d'experts accessibles depuis les publications scientifiques faisant référence dans le domaine. Les termes clés, qui sont à la base du socle conceptuel nécessaire à une meilleure compréhension de la biodiversité en méditerranée, sont acquis au travers d'une approche rigoureuse de fouille de texte qui est détaillée ici. Les premiers résultats obtenus sont rapportés et évalués. Les experts du domaine seront ensuite sollicités pour aider à articuler les termes au travers de structures hiérarchiques et ainsi retranscrire leur savoir sous la forme d'un thésaurus dédié à la biodiversité dans le bassin méditerranéen.
INFORSID
Montpellier, France

lirmm-00723586
http://hal-lirmm.ccsd.cnrs.fr/lirmm-00723586
http://hal-lirmm.ccsd.cnrs.fr/lirmm-00723586/document

Éditeur(s) : HAL CCSD
Résumé : International audience
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 on the same system, 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 semiautomatically 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 research teams.
14th International Conference on Enterprise Information Systems (ICEIS 2012)
Wroclaw, Poland

lirmm-01319858
http://hal-lirmm.ccsd.cnrs.fr/lirmm-01319858
DOI : 10.1007/978-3-642-40654-6_5

Éditeur(s) : HAL CCSD SciTePress
Résumé : International audience
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.
ICEIS 2012: 14th International Conference on Enterprise Information Systems
Wroclaw, Poland

lirmm-00727009
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00727009