Abstract
This special issue brings together the best papers from the ER 2023 conference, held in November 2023 in Lisbon, Portugal. Widely recognized as ER, the conference is the world’s leading forum for exploring the state of the art, emerging trends, and future challenges in conceptual modeling. The inaugural ER conference took place in 1979 in Los Angeles. Initially a biennial event, it became an annual conference in 1985 and has since been hosted in 20 countries across five continents. Over the decades, ER has fostered a globally connected, scientifically rigorous community of academics and practitioners committed to advancing the field.
The Data & Knowledge Engineering (DKE) journal, dedicated to the intersection of data and knowledge engineering, is a natural venue for this special issue. Conceptual modeling—ER’s core focus—lies at the heart of knowledge engineering, relying on data as a foundational concept for representing and managing knowledge through information systems. The ER conference has a long history of fruitful collaboration with the DKE journal, which motivated us, the ER 2023 Conference Chairs, to continue the tradition of organizing a post-conference special issue.
In an era characterized by rapid change, the proliferation of data, and the rise of AI, conceptual modeling is more critical than ever. It empowers our community to understand, describe, and analyze complex phenomena, enabling the design of effective software and information systems adaptable to any scale or level of detail, and to bridge the gap between research and real-world applications in industry and the public sector.
The Data & Knowledge Engineering (DKE) journal, dedicated to the intersection of data and knowledge engineering, is a natural venue for this special issue. Conceptual modeling—ER’s core focus—lies at the heart of knowledge engineering, relying on data as a foundational concept for representing and managing knowledge through information systems. The ER conference has a long history of fruitful collaboration with the DKE journal, which motivated us, the ER 2023 Conference Chairs, to continue the tradition of organizing a post-conference special issue.
In an era characterized by rapid change, the proliferation of data, and the rise of AI, conceptual modeling is more critical than ever. It empowers our community to understand, describe, and analyze complex phenomena, enabling the design of effective software and information systems adaptable to any scale or level of detail, and to bridge the gap between research and real-world applications in industry and the public sector.
| Original language | English |
|---|---|
| Article number | 102487 |
| Journal | Data & knowledge engineering |
| Volume | 160 |
| Early online date | 3 Jul 2025 |
| DOIs | |
| Publication status | Published - Nov 2025 |
| Event | 42nd International Conference on Conceptual Modeling, ER 2023 - Congress Center of the Instituto Superior Técnico, Lisbon, Portugal Duration: 6 Nov 2023 → 9 Nov 2023 Conference number: 42 https://er2023.inesc-id.pt/ |
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Abstracting Conceptual Models as a Weakening Process
Romanenko, E., Kutz, O., Calvanese, D. & Guizzardi, G., 1 Aug 2025, Logic, Language, Information, and Computation: 31st International Workshop, WoLLIC 2025, Porto, Portugal, July 14–17, 2025, Proceedings. Kozen, D. & de Queiroz, R. (eds.). Springer, p. 141-157 17 p. (Lecture Notes in Computer Science; vol. 15942).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)29 Downloads (Pure) -
An ontological lens on attack trees: Toward adequacy and interoperability
Oliveira, Í., Nicoletti, S. M., Engelberg, G., Fumagalli, M., Klein, D. & Guizzardi, G., 30 Jun 2025, ArXiv.org.Research output: Working paper › Preprint › Academic
Open AccessFile27 Downloads (Pure) -
Conceptual modeling: Foundations, a historical perspective, and a vision for the future
Mylopoulos, J., Guizzardi, G. & Guarino, N., Nov 2025, In: Data & knowledge engineering. 160, 102483.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)440 Downloads (Pure)
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