Search results for " Retrieval"
showing 10 items of 1114 documents
Extraction de la Valeur des données du Big Data par classification multi-label hiérarchique sémantique
2015
International audience; Cet article présente une solution centrée sur les ontologies pour la classification multi-label automatique d’information nécessaire à un système de recommandation d’informations économiques.
Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique
2015
11H30-13H00 Conférencier invité Christophe Cruz (Le2i, Université de Bourgogne) : « Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique » (Présidence de session : Eric Kergosien)
From Text to Knowledge and Knowledge to Text.
2015
Système de recommandation sémantique de news économiques pour la veille
2014
Approche ontologique pour l'analyse de données spatiales, Journée Scientifique Pluridisciplinaire, Traitements Statistiques des Données Spatiales
2014
HIGEOMES : bilan et perspectives
2014
Usage de la sémantique : des services de catalogue à l’analyse des phénomènes dynamiques
2014
Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management
2010
International audience; This paper presents an ongoing research which aims at combining geometrical analysis of point clouds and semantic rules to detect 3D building objects. Firstly by applying a previous semantic formalization investigation, we propose a classification of related knowledge as definition, partial knowledge and ambiguous knowledge to facilitate the understanding and design. Secondly an empirical implementation is conducted on a simplified building prototype complying with the IFC standard. The generation of empirical knowledge rules is revealed and semantic scopes are addressed both in the bottom up manner along the line of geometry --> topology --> semantic, and a vice ver…
AN ONTOLOGY-BASED RECOMMENDER SYSTEM USING HIERARCHICAL MULTICLASSIFICATION FOR ECONOMICAL E-NEWS
2014
International audience; This paper focuses on a recommender system of economic news articles. Its objectives are threefold: (i) automatically multi-classify new economic articles, (ii) recommend articles by comparing profiles of users and multi-classification of articles, and (iii) managing the vocabulary of the economic news domain to improve the system based on seamlessly intervention of documentalists. In this paper we focus on the automatic multi-classification of the articles, managed by inference process of ontologies, and the enrichment of the documentalist-oriented ontology which provides the necessary capabilities to the DL reasoner for automatic multi-classification.
PROFILE REFINEMENT IN ONTOLOGY-BASED RECOMMANDER SYSTEMS FOR ECONOMICAL E-NEWS
2014
International audience; This paper is interested in a recommender system of economic news articles. More precisely, it focuses on automatic profile refinement of customers which is an important task over time by taken into account logs of the user concerning especially his/her actions, reading time, and domain specific knowledge. In our approach, ontologies are used to describe and automatically refine these profiles. This work focuses on one particular type of recommender systems which is content-based recommenders. The aim of these recommender systems is to build a user profile and to improve its precision over time. Several improvements that have been made to these recommender systems ov…