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A Formal Characterization of Vagueness and Granularity for Context-Aware Mobile and Ubiquitous Computing

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Ubiquitous Computing Systems (UCS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4239))

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Abstract

In this article, a formal approach for modeling central concepts of context-awareness in ubiquitous and mobile computing is introduced. The focus is on an appropriate handling of issues of vagueness and granularity in ubiquitous computing environments. A formalization of perceptual and sensory uncertainty and a characterization of granularity are applied for modeling three central aspects of context-awareness: context as retrieved from sensors, context for representing relevance, and context as unfocussed background information. The notions are developed and demonstrated with respect to the special case of spatial contexts, but are sufficiently general to also cover other types of context. Use of the characterized concepts is motivated with an example of ongoing work on ontology design for ubiquitous computing environments.

This work was supported by Seondo project of MIC, Korea, by the UCN Project, the MIC 21st Century Frontier R&D Program in Korea, and by the BK 21 Project in 2006.

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Authors and Affiliations

  1. GIST U-VR Lab, Gwangju, 500-712, Republic of Korea

    Hedda R. Schmidtke & Woontack Woo

Authors
  1. Hedda R. Schmidtke
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  2. Woontack Woo
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Editors and Affiliations

  1. Dept. of Computer Engineering, Sungkyunkwan University, Republic of Korea

    Hee Yong Youn

  2. Graduate School of Information and Communication Engineering, Ajou University, Suwon, Republic of Korea

    Minkoo Kim

  3. The University of Tokyo, 7-3-1 Hongo, Bunkyo, 113-8656, Tokyo, Japan

    Hiroyuki Morikawa

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© 2006 Springer-Verlag Berlin Heidelberg

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Schmidtke, H.R., Woo, W. (2006). A Formal Characterization of Vagueness and Granularity for Context-Aware Mobile and Ubiquitous Computing. In: Youn, H.Y., Kim, M., Morikawa, H. (eds) Ubiquitous Computing Systems. UCS 2006. Lecture Notes in Computer Science, vol 4239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890348_12

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  • DOI: https://doi.org/10.1007/11890348_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46287-3

  • Online ISBN: 978-3-540-46289-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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