0000000000092654
AUTHOR
Nadine Cullot
De l'usage des logiques modales pour la gestion de l'incertitude des données : application en archéologie
Archaeological information systems offer methods and tools for representing collected data and performing analyses with which taking into account imperfect data is often hard to please. Our contribution describes the use of several modal logics to model and verify the effects of the consideration of uncertain data, but also to check the quality of a corpus in an in-terdisciplinary collaborative environment. The modelling and the reasoning based on uncertain data, which are studied in this article, are integrated open and extensible platform allowing to manage archaeological data. From the computing point of view, the reasoner used, based on the first order logic, provides the archaeologists…
The Query Expansion Method "QUEXME" in an application environment
International audience; The aim of the paper is to present and apply a QUery EXpansion MEthod called QUEXME while querying the Euro-Mediterranean Information System (EMWIS) on know-how in the Water sector. EMWIS provides a strategic tool for exchanging information and knowledge in the water sector between and within the Euro Mediterranean partnership countries (www.emwis.net). Information retrieval on the web or through some cooperation of information sources or some general knowledge bases is a complex process and a great challenge with the emergence of the semantic web. The aim of the query expansion method is to help and guide users to build their requests giving them some usually relate…
Apports des réseaux sociaux dans les SI Une application à la gestion de la relation client
National audience; Depuis quelques années, le Web s'est transformé en une plateforme d'échange. Le métier de gestion de relation client doit évoluer, se connecter aux réseaux sociaux et mettre l'entreprise au coeur des échanges. Nous proposons dans cet article une approche de détection de communautés, de clients d'une entreprise, basée sur le comportement explicite et implicite des clients. Pour cela, nous définissons une mesure de similarité, entre un utilisateur et un tag, qui prend en compte la notation et la consultation des ressources ainsi que les contacts des utilisateurs. Nous validons cette approche sur une base exemple