Call for Papers

As AI and ML reshape technology, they're also revolutionizing conceptual modeling. We call for papers exploring this change, particularly how AI and ML integrate with and expand conceptual modeling. Submissions should cover established topics like modeling languages, theories, and methods, as well as AI/ML's novel contributions to the field. We encourage papers that push the boundaries of conceptual modeling and demonstrate AI/ML's transformative effects. Contributions should reflect the current state and forecast the future of conceptual modeling, setting the stage for pioneering research.

Call for Tutorials

ER tutorials introduce general or special topics in ER and relevant neighboring areas. A focus on specific tools and methodologies can still be useful to offer concrete examples and hands-on activities to participants.

The topics of interest span the entire spectrum of conceptual modeling including research and practice in the areas defined in the Call for Papers. Some general topics include:

• Theories of concepts underlying conceptual modeling.
• General-purpose and domain-specific methods and tools for developing and communicating conceptual models.
• Techniques for the algorithmic processing of conceptual models.
• The impact of conceptual modeling on databases, business strategies, and information systems engineering.
• Innovative applications of conceptual models in industry and practice. The goal of a tutorial is to provide a road map – for beginners or advanced attendees – about a subject area related to conceptual modeling. Generally, tutorials emphasize breadth and cover material from a variety of different authors. The audience generally varies from novice students to practitioners and specialized researchers. Ideally, a tutorial covers a subject that has an adequately supporting corpus of past work and significant prospects of future expansion research-wise.