DocumentCode :
3320106
Title :
Deterministic and probabilistic implementation of context
Author :
Brdiczka, Oliver ; Reignier, Patrick ; Crowley, James L. ; Vaufreydaz, Dominique ; Maisonnasse, Jérôme
Author_Institution :
Lab. GRAVIR, INRIA Rhone-Alpes, Montbonnot
fYear :
2006
fDate :
13-17 March 2006
Lastpage :
50
Abstract :
This paper addresses the problem of implementing an abstract 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
Keywords :
Petri nets; hidden Markov models; mobile computing; Petri nets; abstract context model; hidden Markov models; Context modeling; Context-aware services; Hidden Markov models; Humans; Knowledge representation; Natural language processing; Pervasive computing; Petri nets; Testing; Ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
0-7695-2520-2
Type :
conf
DOI :
10.1109/PERCOMW.2006.40
Filename :
1598935
Link To Document :
بازگشت