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A Semantic-Based Collaborative Ambient-Assisted Working Framework

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Collaborative Networks in Digitalization and Society 5.0 (PRO-VE 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 662))

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Abstract

Over the last two decades an utmost interest has been shown to Ambient Intelligence (AmI), with most of the related applications focusing on home settings. However, considering the ever-increasing number of ageing people occupied in the workforce, the Ambient-Assisted Working (AAW) is arguably at the beginning of its development. For an effective development and integration of AAW systems, cooperation among and shared knowledge from different stakeholders are required. This work proposes an AmI framework leveraging on Semantic Web technologies to foster employees’ wellbeing. The AAW framework makes use of a domain ontology, outcome of the cooperation between different stakeholders (employer, employees and environment) to adjust, modify and correct indoor comfort metrics in workplaces. In this paper, the proposed framework’s architecture and its underlying ontology are described, along with a use case scenario that illustrates how collaboratively modelled data can actively support ageing workers.

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Authors and Affiliations

  1. Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), via G. Previati 1/E, 23900, Lecco, Italy

    Turgut Cilsal, Daniele Spoladore & Marco Sacco

  2. Department of Pure and Applied Sciences, Insubria University, via Ottorino Rossi 9, 21100, Varese, Italy

    Daniele Spoladore & Alberto Trombetta

Authors
  1. Turgut Cilsal
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  2. Daniele Spoladore
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  3. Alberto Trombetta
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  4. Marco Sacco
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Corresponding author

Correspondence to Turgut Cilsal .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Monte da Caparica, Portugal

    Luis M. Camarinha-Matos

  2. Polytechnic University of Valencia, Valencia, Spain

    Angel Ortiz

  3. École des Mines de Saint-Étienne, Saint-Étienne Cedex, France

    Xavier Boucher

  4. Instituto Politécnico de Lisboa, Lisbon, Portugal

    A. Luís Osório

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Cilsal, T., Spoladore, D., Trombetta, A., Sacco, M. (2022). A Semantic-Based Collaborative Ambient-Assisted Working Framework. In: Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Osório, A.L. (eds) Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2022. IFIP Advances in Information and Communication Technology, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-031-14844-6_28

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  • DOI: https://doi.org/10.1007/978-3-031-14844-6_28

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  • Online ISBN: 978-3-031-14844-6

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