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An Ontology for Context Modeling in Smart Spaces

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Conceptual Modeling (ER 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14320))

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Abstract

Smart environments are one of the hot topics in the recent scientific literature in computer science. An essential aspect of these applications is how to obtain data about their users and understand them. Context-aware approaches proved to be successful in understanding these data. Therefore, user context representation is one of the problems to address in this domain. Context information can contain multidimensional information. This paper presents an ontology for representing context in smart environments called SpaceCOn. This ontology contains a definition of several context-related concepts. This ontology can be a strategic tool to integrate context data from different sources in large smart environments, such as smart universities and cities. Tests carried out in a case study demonstrated the developed ontology’s potential.

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Notes

  1. 1.

    http://ontologydesignpatterns.org/wiki/Ontology:DOLCE+DnS_Ultralite.

  2. 2.

    https://www.w3.org/TR/owl-time/.

  3. 3.

    https://qudt.org/.

  4. 4.

    https://www.w3.org/TR/vocab-ssn/.

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Acknowledgments

This study was supported by CNPq/MCTI/FNDCT N\(^{\underline{\textrm{o}}}\) 18/2021 grant n. 405973/2021-7, and by the Federal Institute of Education, Science and Technology of Rio Grande do Sul (IFRS).

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Authors and Affiliations

  1. Informatics Institute, Federal University of RS, Porto Alegre, Brazil

    Leonardo Vianna do Nascimento & José Palazzo Moreira de Oliveira

  2. Federal Institute of Education, Science and Technology of Rio Grande do Sul (IFRS), Campus Alvorada, Porto Alegre, Brazil

    Leonardo Vianna do Nascimento

Authors
  1. Leonardo Vianna do Nascimento
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  2. José Palazzo Moreira de Oliveira
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Corresponding author

Correspondence to Leonardo Vianna do Nascimento .

Editor information

Editors and Affiliations

  1. Federal University of Espírito Santo, Vitória, Brazil

    João Paulo A. Almeida

  2. Universidade de Lisboa, Lisbon, Portugal

    José Borbinha

  3. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

  4. University of Auckland, Auckland, New Zealand

    Sebastian Link

  5. Stockholm University, Kista, Sweden

    Jelena Zdravkovic

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do Nascimento, L.V., de Oliveira, J.P.M. (2023). An Ontology for Context Modeling in Smart Spaces. In: Almeida, J.P.A., Borbinha, J., Guizzardi, G., Link, S., Zdravkovic, J. (eds) Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14320. Springer, Cham. https://doi.org/10.1007/978-3-031-47262-6_19

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  • DOI: https://doi.org/10.1007/978-3-031-47262-6_19

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  • Online ISBN: 978-3-031-47262-6

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