A FAIR catalog of ontology-driven conceptual models

Tiago Prince Sales, Pedro Paulo F. Barcelos*, Claudenir M. Fonseca, Isadora Valle Souza, Elena Romanenko, César Henrique Bernabé, Luiz Olavo Bonino da Silva Santos, Mattia Fumagalli, Joshua Kritz, João Paulo A. Almeida, Giancarlo Guizzardi

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language's constructs, as well as about the patterns and anti-patterns recurrent in the models of that language crosscutting different domains. They may support domain and language learning, model reuse, knowledge discovery for humans, and reliable automated processing and analysis if built following generally accepted quality requirements for scientific data management. More specifically, not unlike scientific (meta)data, models should be shared according to the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). In this paper, we report on the construction of a FAIR model catalog for Ontology-Driven Conceptual Modeling research, a trending paradigm lying at the intersection of conceptual modeling and ontology engineering in which the Unified Foundational Ontology (UFO) and OntoUML emerged among the most adopted technologies. The catalog, publicly available at https://w3id.org/ontouml-models, currently includes over one hundred and forty models, developed in a variety of contexts and domains.

Original languageEnglish
Article number102210
JournalData & knowledge engineering
Volume147
DOIs
Publication statusPublished - Sept 2023

Keywords

  • FAIR
  • Linked data
  • Model catalog
  • Ontology-driven conceptual modeling
  • OntoUML
  • Unified Foundational Ontology (UFO)

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