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Graphol : A Graphical Language for Ontology Modeling Equivalent to OWL 2

Author

Listed:
  • Domenico Lembo

    (Department of Computer, Control and Management Engineering, Sapienza Università di Roma, Via Ariosto 25, 00185 Roma, Italy)

  • Valerio Santarelli

    (OBDA Systems S.R.L., Via di Casal Boccone, 00137 Roma, Italy)

  • Domenico Fabio Savo

    (Department of Management, Information and Production Engineering (DIGIP), Università degli Studi di Bergamo, Via A. Einstein 2, 24044 Dalmine, Italy)

  • Giuseppe De Giacomo

    (Department of Computer, Control and Management Engineering, Sapienza Università di Roma, Via Ariosto 25, 00185 Roma, Italy)

Abstract

In this paper we study Graphol , a fully graphical language inspired by standard formalisms for conceptual modeling, similar to the UML class diagram and the ER model, but equipped with formal semantics. We formally prove that Graphol is equivalent to OWL 2, i.e., it can capture every OWL 2 ontology and vice versa. We also present some usability studies indicating that Graphol is suitable for quick adoption by conceptual modelers that are familiar with UML and ER. This is further testified by the adoption of Graphol for ontology representation in several industrial projects.

Suggested Citation

  • Domenico Lembo & Valerio Santarelli & Domenico Fabio Savo & Giuseppe De Giacomo, 2022. "Graphol : A Graphical Language for Ontology Modeling Equivalent to OWL 2," Future Internet, MDPI, vol. 14(3), pages 1-29, February.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:3:p:78-:d:760974
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    References listed on IDEAS

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    1. Terry Halpin, 2010. "Object-Role Modeling: Principles and Benefits," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 1(1), pages 33-57, January.
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    Cited by:

    1. Hyeon O. Choe & Meong-Hun Lee, 2023. "Artificial Intelligence-Based Fault Diagnosis and Prediction for Smart Farm Information and Communication Technology Equipment," Agriculture, MDPI, vol. 13(11), pages 1-19, November.
    2. Seung Jae Kim & Meong Hun Lee, 2022. "Design and Implementation of a Malfunction Detection System for Livestock Ventilation Devices in Smart Poultry Farms," Agriculture, MDPI, vol. 12(12), pages 1-22, December.

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