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

Co-Located with the 39th International Conference on Conceptual Modeling (ER 2020), November 3-6, 2020, Vienna, Austria

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.

While data-driven AI has led to significant breakthroughs, it also comes with a number of disadvantages. First, models generated by machine learning algorithms often cannot be inspected and understood by a human being, thus lacking explainability. Furthermore, integration of preexisting domain knowledge into learned models – prior to or after learning – is difficult. Finally, correct application of data-driven AI depends on the domain, problem, and organizational context while considering human aspects as well. Conceptual modeling can be the key to applying data-driven AI in a meaningful, correct, and time-efficient way while improving maintainability, usability, and explainability.

Accepted Papers

Topics of Interest

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

Important Dates

Paper submission: 6 July 2020 27 July 2020 (Extension due to COVID-19 situation)

Author notification: 27 July 2020 17 August 21 August 2020

Camera-ready Version: 11 August 2020 7 September 2020

Paper Submission

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Papers must not contain and author information (i.e., blind submission) and must not exceed 10 pages (including figures, references, etc.) in length using the LNCS template. Submissions are handled in the EasyChair system. Click here to submit your paper.

Accepted papers will be published in the LNCS series by Springer. Note that only accepted papers presented in the workshop by at least one author will be published.

Workshop Organizers

Program Committee