Logics for Conceptual Data Modelling: A Review

Authors Pablo R. Fillottrani , C. Maria Keet

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Pablo R. Fillottrani
  • Universidad Nacional del Sur, Bahía Blanca, Argentina
  • Comisión de Investigaciones Científicas, Provincia de Buenos Aires, Argentina
C. Maria Keet
  • Department of Computer Science, University of Cape Town, South Africa

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Pablo R. Fillottrani and C. Maria Keet. Logics for Conceptual Data Modelling: A Review. In Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 1, pp. 4:1-4:30, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


Information modelling for databases and object-oriented information systems avails of conceptual data modelling languages such as EER and UML Class Diagrams. Many attempts exist to add logical rigour to them, for various reasons and with disparate strengths. In this paper we aim to provide a structured overview of the many efforts. We focus on aims, approaches to the formalisation, including key dimensions of choice points, popular logics used, and the main relevant reasoning services. We close with current challenges and research directions.

Subject Classification

ACM Subject Classification
  • Information systems → Database design and models
  • Computing methodologies → Description logics
  • Software and its engineering → Formal language definitions
  • Software and its engineering → Unified Modeling Language (UML)
  • Theory of computation → Data modeling
  • Conceptual Data Modelling
  • EER
  • UML
  • Description Logics
  • OWL


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