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1st International IEEE Conference on Pervasive Services

Research Article

A Framework for Imprecise Context Reasoning

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/PERSER.2007.4283913,
        author={Christos  B. Anagnostopoulos and Panagiotis  Pasias and Stathes  Hadjiefthymiades},
        title={A Framework for Imprecise Context Reasoning},
        proceedings={1st International IEEE Conference on Pervasive Services},
        publisher={IEEE},
        proceedings_a={ICPS},
        year={2007},
        month={8},
        keywords={approximate reasoning  context clustering  fuzzy sets-based context representation and inference},
        doi={10.1109/PERSER.2007.4283913}
    }
    
  • Christos B. Anagnostopoulos
    Panagiotis Pasias
    Stathes Hadjiefthymiades
    Year: 2007
    A Framework for Imprecise Context Reasoning
    ICPS
    IEEE
    DOI: 10.1109/PERSER.2007.4283913
Christos B. Anagnostopoulos1,*, Panagiotis Pasias1, Stathes Hadjiefthymiades1,*
  • 1: Pervasive Computing Research Group, Communication Networks Laboratory, Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, 15784, Greece, tel.: +302107275148
*Contact email: bleu@di.uoa.gr, shadj@di.uoa.gr

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
approximate reasoning context clustering fuzzy sets-based context representation and inference
Published
2007-08-08
Publisher
IEEE
Modified
2011-08-07
http://dx.doi.org/10.1109/PERSER.2007.4283913
Copyright © 2007–2025 IEEE
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