Generalizing contextual situations

Michal Szczerbak (1, 2) , Ahmed Bouabdallah (1) , François Toutain (2) , Jean-Marie Bonnin (1)

1 RSM - Département Réseaux, Sécurité et Multimédia
2 Orange Labs [Lannion]

This paper presents an algorithm that generalizes big sets of contextual situations. Apart from giving details on its mechanisms and implementation, we discuss its employment in a context experience sharing system, KRAMER, and simulate its performance in function of several parameters modelling the expected real data experiment.

Mots clés: Semantic abstractions; Conceptual graphs; Situation awareness; Context data; Simulations

Michal Szczerbak, Ahmed Bouabdallah, François Toutain, Jean-Marie Bonnin. Generalizing contextual situations. ICSC 2012: 6th IEEE International Conference on Semantic Computing, Sep 2012, Palerme, Italy. pp.293-301. ⟨hal-00797501⟩