Context Fusion through Imprecise Reasoning

Author

Sekkas, Odysseas ; Anagnostopoulos, Christos B. ; Hadjiefthymiades, Stathes

Author_Institution

Communications Network Laboratory, Pervasive Computing Research Group, University of Athens, Department of Informatics and Telecommunications, Panepistimiopolis, Illissia, 15784, Athens, Greece, Tel: +302107275162, sekkas@di.uoa.gr

fYear

2007

fDate

15-20 July 2007

Firstpage

88

Lastpage

91

Abstract

Pervasive computing is an emerging computing paradigm that provides intelligent context-aware applications. Such applications handle contextual information in order to determine the current user´s situation. Contextual information is typically inaccurate (e.g., noise of sensor readings). A novel context fusion engine* that models, determines and reasons about the current user´s situation is proposed. This engine, based on dynamic Bayesian networks and fuzzy logic, deals with the reliability of sources and approximate contextual reasoning.

Keywords

belief networks; fuzzy logic; inference mechanisms; ubiquitous computing; context fusion; contextual information; dynamic Bayesian network; fuzzy logic; imprecise reasoning; pervasive computing; Bayesian methods; Communication networks; Context modeling; Engines; Fuzzy logic; Intelligent sensors; Laboratories; Pervasive computing; Sensor fusion; Sensor phenomena and characterization; approximate reasoning; context fusion; context modeling; location estimation; probabilistic inference; sensors reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Services, IEEE International Conference on

Conference_Location

Istanbul

Print_ISBN

1-4244-1325-7

Electronic_ISBN

1-4244-1326-5

Type

conf

DOI

10.1109/PERSER.2007.4283896

Filename

4283896