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Context-Based Service Identification in the Museum Environment

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Book cover Context-Aware Systems and Applications (ICCASA 2015)

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Abstract

The substantial growth in technology with multi-featured devices, wireless networks and interacting computing infrastructure has increased the demand of ubiquitous services. A ubiquitous service, unlike other service is decided by the system without user requests or interventions. The system uses different contexts such as user context, device context, network context, and many others to decide accurate services for the user. In this work, we design a technique to identify the required services for the visitors in the museum environment by considering the context of the visitors and their surrounding environment. The technique acquires the required context information and formulates Composite Context (CC) which leads to Essential Context-derived Reasons (ECR). We use these ECR to identify the visitor’s required service. The designed technique has been tested in the museum environment with variety of exhibits and services. The experimental results demonstrate the effectiveness of the technique.

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Authors and Affiliations

  1. Protocol Engineering and Technology Unit, Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India

    Preeti Khanwalkar & Pallapa Venkataram

Authors
  1. Preeti Khanwalkar
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  2. Pallapa Venkataram
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Correspondence to Pallapa Venkataram .

Editor information

Editors and Affiliations

  1. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Phan Cong Vinh

  2. Concordia University, Montréal, Québec, Canada

    Vangalur Alagar

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Khanwalkar, P., Venkataram, P. (2016). Context-Based Service Identification in the Museum Environment. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-29236-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29235-9

  • Online ISBN: 978-3-319-29236-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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