Deterministic and Probabilistic Implementation of Context

This paper addresses the problem of implementing an context model. First, the abstract context model is represented by a network of situations. Two different implementations for the situation model are then proposed: a deterministic one based on Petri nets and a probabilistic one based on Hidden Markov Models. Both implementations are illustrated and applied to real-world problems.

• Type: Conference
• Year: 2006
• Where: PERCOM
• Authors: Oliver Brdiczka, Dominique Vaufreydaz, Jérôme Maisonnasse
• Keywords: Abstract Context Model, Hidden Markov Models, PERCOM 2006, Situation Model, Wireless Networks