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ONTrust: A Reference Ontology of Trust

ONTrust is a well-founded reference ontology, specified in OntoUML, that formally characterizes the concept of trust, as well as clarifies the relation between trust and risk, and represents how risk emerges from trust relations. The term ROT was previously used to refer to the Reference Ontology of Trust. As of June 2024 it was renamed ONTrust.

Project Structure

  • /ontouml contains files related to the conceptual version of ONTrust, which was modelled in OntoUML.
  • /owl contains files related to the gUFO-based implementation of ONTrust, represented in OWL.
  • /owl/previous_version contains files related to the previous version gUFO-based implementation of the ontology, formerly known as ROT.

Reusing .vpp files

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References

  • Amaral G., Sales T.P., Guizzardi G., Porello D. (2019) Towards a Reference Ontology of Trust. In: Panetto H., Debruyne C., Hepp M., Lewis D., Ardagna C., Meersman R. (eds) On the Move to Meaningful Internet Systems: OTM 2019 Conferences. OTM 2019. Lecture Notes in Computer Science, vol 11877. Springer, Cham. https://doi.org/10.1007/978-3-030-33246-4_1

  • Amaral G., Sales T.P., Guizzardi G., Porello D. (2021) Ontological Foundations for Trust Management: Extending the Reference Ontology of Trust. In: Proceedings of 15th International Workshop on Value Modelling and Business Ontologies, Bolzano, Italy, March 4-5, 2021. VMBO 2021. http://ceur-ws.org/Vol-2835/paper2.pdf

  • Amaral G., Sales T.P., Guizzardi G., Almeida J.P.A., Porello D. (2020) Modeling Trust in Enterprise Architecture: A Pattern Language for ArchiMate. In: Grabis J., Bork D. (eds) The Practice of Enterprise Modeling. PoEM 2020. Lecture Notes in Business Information Processing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-030-63479-7_6

  • Amaral G., Guizzardi R., Guizzardi G., Mylopoulos J. (2020) Ontology-Based Modeling and Analysis of Trustworthiness Requirements: Preliminary Results. In: Dobbie G., Frank U., Kappel G., Liddle S.W., Mayr H.C. (eds) Conceptual Modeling. ER 2020. Lecture Notes in Computer Science, vol 12400. Springer, Cham. https://doi.org/10.1007/978-3-030-62522-1_25

  • Amaral G., Guizzardi R., Guizzardi G., Mylopoulos J. (2021) Trustworthiness Requirements: The Pix Case Study. In: Ghose, A., Horkoff, J., Silva Souza, V.E., Parsons, J., Evermann, J. (eds) Conceptual Modeling. ER 2021. Lecture Notes in Computer Science(), vol 13011. Springer, Cham. https://doi.org/10.1007/978-3-030-89022-3_21

  • Amaral, G., Prince Sales, T., Guizzardi, G. (2022). Ontological Foundations for Trust Dynamics: The Case of Central Bank Digital Currency Ecosystems. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-05760-1_21

  • Baratella, R., Amaral, G., Sales, T. P., Guizzardi, R., Guizzardi, G. (2023). The Many Facets of Trust. In Formal Ontology in Information Systems (pp. 17-31). IOS Press.

  • Sales T.P., Baião F., Guizzardi G., Almeida J.P.A., Guarino N., Mylopoulos J. (2018) The Common Ontology of Value and Risk. In: Trujillo J. et al. (eds) Conceptual Modeling. ER 2018. Lecture Notes in Computer Science, vol 11157. Springer, Cham. https://doi.org/10.1007/978-3-030-00847-5_11

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