Título: Knowledge Fusion in Academic Networks
Autores: Horea Adrian Grebla; "Babes-Bolyai" University of Cluj-Napoca
Calin Ovidiu Cenan; Technical University of Cluj-Napoca
Liliana Stanca; "Babes-Bolyai" University of Cluj-Napoca
Fecha: 2010-04-10
Publicador: BRAIN: Broad Research in Artificial Intelligence and Neuroscience
Fuente:
Tipo: Works in progress, Discussions
Tema: Artificial Intelligence, E-Learning
knowledge fusion, data fusion, Bayesian network based ontologies, equivalence

Descripción: Academic networks can represent a new model for learning based on knowledge fusion. In the current paper we present an approach to the academic network design that brings together expertise of academic trainers and practitioners, and opens new paths in knowledge distribution. The academic networks that we consider are mathematically modeled and they represent the foundation for the ontological approach to knowledge fusion in such a network.
Idioma: Inglés

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