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Tuning the Behavior of Context-Aware Applications

Using Semiotic Norms and Bayesian Modeling to Establish the User Situation

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Business Modeling and Software Design (BMSD 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 356))

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Abstract

Context-aware applications are to adapt their “behavior” to the surrounding context. In this paper, we analyze different ways to achieve adequate application behavior adjustment (based on context data) and we stress upon: (i) Bayesian modeling that is not only considered useful in this regard but is also not enough explored as it concerns context-aware applications; (ii) semiotic norms that have specific relevant strengths. Even though there is much experience as it concerns the challenge of capturing context data, more knowledge is still needed about how to use context data in order to effectively make the right judgement about the “current” user situation (context state). We consider this paper’s contribution as relevant to the above-mentioned challenge.

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Authors and Affiliations

  1. Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

  2. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Boris Shishkov

  3. Institute IICREST, Sofia, Bulgaria

    Boris Shishkov

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  1. Boris Shishkov
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Correspondence to Boris Shishkov .

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Editors and Affiliations

  1. Department of Information Systems and Technologies, Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Shishkov, B. (2019). Tuning the Behavior of Context-Aware Applications. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2019. Lecture Notes in Business Information Processing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-24854-3_9

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  • DOI: https://doi.org/10.1007/978-3-030-24854-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24853-6

  • Online ISBN: 978-3-030-24854-3

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