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
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