A Framework for Imprecise Context Reasoning

Author

Anagnostopoulos, Christos B. ; Pasias, Panagiotis ; Hadjiefthymiades, Stathes

Author_Institution

Pervasive Computing Research Group, Communication Networks Laboratory, Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, 15784, Greece, tel.: +302107275148, e-mail: bleu@di.uoa.gr

fYear

2007

fDate

15-20 July 2007

Firstpage

181

Lastpage

184

Abstract

The knowledge about the user context refers to a sequence of activities performed in a pervasive computing environment. Such sequence and the corresponding context transitions typically constitute the up-to-now user situation, thus, clusters of similar situations can be formed. A framework that represents and infers the current user context and reasons about user situations through approximate reasoning and clustering techniques is proposed .

Keywords

fuzzy set theory; inference mechanisms; pattern clustering; ubiquitous computing; approximate reasoning; cluster technique; fuzzy set theory; imprecise context reasoning; pervasive computing; Communication networks; Context modeling; Electronic mail; Fuzzy set theory; Fuzzy sets; Informatics; Pervasive computing; Possibility theory; Uncertainty; Virtual manufacturing; approximate reasoning; context clustering; fuzzy sets-based context representation and inference;

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.2007.4283913

Filename

4283913