Publications
This page lists selected publications and accepted papers most relevant to ontology engineering, conceptual modeling, Semantic Web implementation, semantic interoperability, knowledge representation, and reusable semantic artifacts.
It is not a complete publication list. For broader and more frequently updated publication records, see:
Selection focus
The selected items emphasize:
- Foundational ontology and ontological analysis
- OntoUML, UFO, and ontology-driven conceptual modeling
- OWL, Semantic Web implementation, and machine-processable semantic artifacts
- Semantic traceability, mappings, interoperability, and standards
- Reusable model catalogs, metadata, and FAIR-aligned publication of semantic resources
See Projects for selected project and research context connected to these themes.
Foundational ontology, conceptual modeling, and Semantic Web
Inferring ontological categories of OWL classes using foundational rules
Citation: Barcelos, P. P. F., Sales, T. P., Romanenko, E., Almeida, J. P. A., Engelberg, G., & Guizzardi, G. (2023). Inferring ontological categories of OWL classes using foundational rules. Formal Ontology in Information Systems — FOIS 2023. IOS Press.
Link: DOI
Technical relevance: Foundational ontology, OWL, rule-based inference, ontological categories, and Semantic Web implementation.
A FAIR catalog of ontology-driven conceptual models
Citation: Sales, T. P., Barcelos, P. P. F., Fonseca, C. M., Souza, I. V., Romanenko, E., Bernabé, C. H., Santos, L. O. B. S., Fumagalli, M., Kritz, J., Almeida, J. P. A., & Guizzardi, G. (2023). A FAIR catalog of ontology-driven conceptual models. Data & Knowledge Engineering, 147, 102210.
Link: DOI
Technical relevance: FAIR model publication, OntoUML/UFO models, model metadata, research infrastructure, and reusable semantic artifacts.
Ontology-driven resilience modeling
Ontological foundations of resilience
Citation: Barcelos, P. P. F., Calhau, R. F., Oliveira, Í., Sales, T. P., Gailly, F., Poels, G., & Guizzardi, G. (2024). Ontological foundations of resilience. Conceptual Modeling — ER 2024. Springer.
Link: DOI
Technical relevance: Foundational ontology, resilience modeling, complex systems, and conceptual-model analysis.
An ontology-driven domain-specific modeling language for specification and evaluation of resilience scenarios in complex systems
Citation: Barcelos, P. P. F., Calhau, R. F., Gailly, F., Poels, G., & Guizzardi, G. (2026). An ontology-driven domain-specific modeling language for specification and evaluation of resilience scenarios in complex systems. Enterprise Design, Operations, and Computing — EDOC 2025 Revised Selected Papers. Springer.
Link: DOI
Technical relevance: Ontology-driven modeling-language design, applied ontology, and specification and evaluation of resilience scenarios.
Semantic interoperability, traceability, and standards
Enabling Semantic Traceability in Health Data: The Health-RI Semantic Interoperability Initiative
Citation: Barcelos, P. P. F., van Ulzen, N., Groeneveld, R., Konrad, A., Khalid, Q., Zhang, S., Trompert, A., & Vos, J. (2026). Enabling Semantic Traceability in Health Data: The Health-RI Semantic Interoperability Initiative. Accepted for SWAT4HCLS 2026.
Link: Accepted submissions page
Technical relevance: Semantic traceability, ontology-based interoperability, mappings, FAIR-aligned semantic resources, and semantic-resource governance in a health-data infrastructure context.
On the importance of truly ontological distinctions for standardizations
Citation: Barcelos, P. P. F., Reginato, C. C., Monteiro, M. E., & Garcia, A. S. (2016). On the importance of truly ontological distinctions for standardizations: A case study in the domain of telecommunications. Computer Standards & Interfaces, 44, 28–41.
Link: DOI
Technical relevance: Ontological analysis of technical standards, conceptual clarity, semantic interoperability, and standardization.