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SEDAMI @ ECAI 2023 : The Semantic Data Mining Workshop @ ECAI 2023


When Sep 30, 2023 - Oct 1, 2023
Where Krakow, Poland
Submission Deadline Jul 31, 2023
Notification Due Aug 14, 2023
Final Version Due Aug 21, 2023
Categories    data mining   artificial intelligence   semantic data mining   neuro-symbolic ai

Call For Papers

Semantic Data Mining Workshop at ECAI 2023
30 September - 1 October 2023

Important Dates:
** Submission Deadline: 31.07.2023
** Notification of Acceptance: 14.08.2023
** Camera-Ready Versions Due: 21.08.2023
** Workshop date: 30 September - 1 October 2023

The second Semantic Data Mining (SEDAMI) workshop will be co-located with ECAI 2023. The
workshop is planned to take place in Krakow, Poland, 30 September - 1 October 2023.

The theme of the SEDAMI workshop is semantic data mining. With this workshop we aim to get an
insight into the current status of research in this area. We focus mainly on methods that allow
include/utilize/exploit semantic information and domain knowledge in machine learning and data
mining, focussing on domains and research questions that have not been deeply investigated so far to
improve standard machine learning solutions.
We encourage contributions on methods, techniques and applications that are both domain-specific
but also transversal to different application domains. In particular, we solicit contributions that aim to
focus on semantic data mining for providing and/or enhancing interpretability, the introduction and
upgrading of knowledge, as well as enhancing explanations.

Topics of interest
We encourage receiving papers related to the following topics, which include but are not limited to:
● Introduction of semantics into the data mining process
● Explainable artificial intelligence and domain knowledge
● Declarative domain knowledge
● Declarative data mining
● Declarative explainable artificial intelligence
● Integration of causal machine learning and expert knowledge
● Neuro-symbolic artificial intelligence
● Knowledge modeling and data mining
● Feature engineering for transparency and explanation
● Knowledge-based data mining approaches
● Knowledge-graphs in data mining
● Interpretable models in data mining
● Role of explanations in data mining
● Inductive logic programming and data mining
● Transparent and hybrid models in data mining
● Human in the loop of the data mining process
● Role of Linked Open Data in data mining
● Applications of all of the above

We are accepting short papers – 5-6 pages with references, and long papers – 10-12 pages including
references. The papers need to be prepared in CEUR-WS format (see below).
We are planning to make workshop proceedings available via CEUR-WS. A post workshop journal
publication is considered.
All submitted papers must
* be written in English;
* contain author names, affiliations, and email addresses;
* be formatted according to the CEUR-WS template (Download)
* be in PDF (make sure that the PDF can be viewed on any platform).

Organising committee
Szymon Bobek ( Jagiellonian University
Martin Atzmueller ( Osnabrück University, Germany,
Nada Lavrac (, Jožef Stefan Institute, Slovenia
For any enquiries please contact:

Program committee (tentative)
Sören Auer, Leibniz University of Hannover & TIB, Germany
Klaus-Dieter Althoff, University of Hildesheim & DFKI, Germany
Przemysław Biecek, Warsaw University of Technology, Poland
Johannes Fürnkranz, Johannes Kepler University Linz, Austria
João Gama, University of Porto, Portugal
Heiko Paulheim, University of Mannheim, Germany
Kristian Kersting, TU Darmstadt, Germany
Stan Matwin, Dalhousie University, Canada
Grzegorz J. Nalepa, Jagiellonian University, Poland
Sławomir Nowaczyk, Halmstad University, Sweden
Jose Palma, Universidad de Murcia, Spain
Juan Pavon, Universidad Complutense de Madrid, Spain
Mykola Pechenizkyi, TU Eindhoven, The Netherlands
Marc Plantevit, Université Lyon, France
Eric Postma, Tilburg University, The Netherlands
Céline Rouveirol, Université Sorbonne Paris Nord, France
Ute Schmid, University of Bamberg, Germany
Marek Sikora, Silesian University of Technology, Poland
Dietmar Seipel, University of Würzburg, Germany
Blaž Škrlj, Jožef Stefan Institute, Slovenia
Jerzy Stefanowski, Poznan University of Technology, Poland
Stefano Teso, KU Leuven, Belgium
Gerhard Weikum, Max Planck Institute for Informatics, Germany
Filip Železny, CTU, Prague, Czech Republic

We look forward to seeing you at the SEDAMI Workshop!

Szymon Bobek, Martin Atzmueller, and Nada Lavrac

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