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A Preference-Based Application Framework for Resource-Bounded Context-Aware Agents

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Mobile and Wireless Technologies 2017 (ICMWT 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 425))

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Abstract

Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. One of the main challenges of context-aware distributed mobile computing is the dynamic adaptation to changes in the resource-bounded operating environment with user preferences. For example, a depersonalized context-aware application may exhibit behavior that is not anticipated by its user in a given situation. In this paper, we present a personalized preference model for resource-bounded context-aware applications, which provides support for the development and execution of context-aware applications using a declarative language. We implement a simple example system that demonstrates the effectiveness of the approach in a real-world scenario.

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Notes

  1. 1.

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Author information

Authors and Affiliations

  1. School of Computer Science, The University of Nottingham Malaysia Campus, Semenyih, Malaysia

    Ijaz Uddin & Abdur Rakib

  2. Department of Computer Science and Creative Technologies, The University of the West of England, Bristol, United Kingdom

    Abdur Rakib

Authors
  1. Ijaz Uddin
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  2. Abdur Rakib
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Corresponding author

Correspondence to Abdur Rakib .

Editor information

Editors and Affiliations

  1. B-dong Intellige 2, Korea Industry Security Forum, Seongnam-si, Kyonggi-do, Korea (Republic of)

    Kuinam J. Kim

  2. modelizeIT Inc., CEO and NYU , Stony Brook, New York, USA

    Nikolai Joukov

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Uddin, I., Rakib, A. (2018). A Preference-Based Application Framework for Resource-Bounded Context-Aware Agents. In: Kim, K., Joukov, N. (eds) Mobile and Wireless Technologies 2017. ICMWT 2017. Lecture Notes in Electrical Engineering, vol 425. Springer, Singapore. https://doi.org/10.1007/978-981-10-5281-1_20

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  • DOI: https://doi.org/10.1007/978-981-10-5281-1_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5280-4

  • Online ISBN: 978-981-10-5281-1

  • eBook Packages: EngineeringEngineering (R0)

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