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CMAI 2020 : 1st Workshop on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making

Vienna, Austria
Event Date: Nov 03, 2020 - Nov 06, 2020
Submission Deadline: Jul 06, 2020
Notification of Acceptance: Jul 27, 2020
Camera Ready Version Due : Aug 11, 2020


Artificial intelligence (AI) is front and center in the data-driven revolution that has been taking place in the last couple of years with the increasing availability of large amounts of data (“big data”) in virtually every domain. The now dominant paradigm of data-driven AI, powered by sophisticated machine learning algorithms, employs big data to build intelligent applications and support fact-based decision making. The focus of data-driven AI is on learning (domain) models and keeping those models up-to-date by using statistical methods over big data, in contrast to the manual modeling approach prevalent in traditional, knowledge-based AI.

Call For Paper

Topics of Interest

The topics of interest include, but are not limited to, the following:

  • Combining generated and manually engineered models
  • Combining symbolic with sub-symbolic models
  • Conceptual (meta-)models as background knowledge for model learning
  • Explainability of learned models
  • Conceptual models for enabling explainability, model validation and plausibility checking
  • Trade-off between explainability and model performance
  • Trade-off between comprehensibility of an explanation and its completeness
  • Reasoning in generated models
  • Data-driven modeling support
  • Learning of meta-models
  • Automatic, incremental model adaptation
  • Model-driven guidance and support for data analytics lifecycle
  • Conceptual models for supporting users with conducting data analysis

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