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CCOnto: The Character Computing Ontology

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Research Challenges in Information Science (RCIS 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 415))

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Abstract

Especially in light of the COVID-19 pandemic which is influencing human behavior, it is clear that there is a rising need for joining psychology and computer science to provide technology interventions for people suffering from negative feelings and behavior change. Behavior is driven by an individual’s character and the situation they are in, according to Character Computing and the Character-Behavior-Situation (CBS) triad. Accordingly, we developed the first full ontology modeling the CBS triad with the aim of providing domain experts with an intelligent interface for modeling, testing, and unifying hypotheses on the interactions between character, behavior, and situation. The ontology consists of a core module modeling character-based interactions and use-case and domain-specific modules. It was developed by computer scientists and psychology domain experts following an iterative process. The main contributions of this paper include updating the earlier prototypical version of the ontology-based on feedback from psychology experts and existing literature, adding more tools to it for enabling domain expert interaction, and providing the final ontology. Steps taken towards evaluating and validating the ontology are outlined.

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Notes

  1. 1.

    https://github.com/CharacterComputingResearch/CCOnto/blob/main/CCOnto.owl.

  2. 2.

    https://github.com/CharacterComputingResearch/CCOnto/blob/main/CCOnto-Full-PhW-Sleep.owl.

  3. 3.

    https://github.com/CharacterComputingResearch/CCOnto and https://met.guc.edu.eg/CharacterComputing/home.html.

  4. 4.

    http://oops.linkeddata.es/index.jsp.

  5. 5.

    https://charactercomputingsleep.herokuapp.com/introServlet.

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Author information

Authors and Affiliations

  1. German University in Cairo, Cairo, Egypt

    Alia El Bolock, Nada Elaraby & Slim Abdennadher

  2. Ulm University, Ulm, Germany

    Alia El Bolock & Cornelia Herbert

Authors
  1. Alia El Bolock
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  2. Nada Elaraby
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  3. Cornelia Herbert
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  4. Slim Abdennadher
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Corresponding author

Correspondence to Alia El Bolock .

Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, Paris, France

    Samira Cherfi

  2. Fondazione Bruno Kessler, Trento, Italy

    Anna Perini

  3. University Paris 1 Panthéon-Sorbonne, Paris, France

    Selmin Nurcan

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El Bolock, A., Elaraby, N., Herbert, C., Abdennadher, S. (2021). CCOnto: The Character Computing Ontology. In: Cherfi, S., Perini, A., Nurcan, S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-75018-3_21

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  • DOI: https://doi.org/10.1007/978-3-030-75018-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75017-6

  • Online ISBN: 978-3-030-75018-3

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