Call for Papers |
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Semantic Data Mining Workshop at ECAI 2023
30 September - 1 October 2023 https://sedami.geist.re 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. Objectives ======== 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 Submission ========= 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 ([email protected]) Jagiellonian University Martin Atzmueller ([email protected]) Osnabrück University, Germany, Nada Lavrac ([email protected]), Jožef Stefan Institute, Slovenia For any enquiries please contact: [email protected] 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! Sincerely, Szymon Bobek, Martin Atzmueller, and Nada Lavrac |
Summary |
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SEDAMI @ ECAI 2023 : The Semantic Data Mining Workshop @ ECAI 2023 will take place in Krakow, Poland. It’s a 2 days event starting on Sep 30, 2023 (Saturday) and will be winded up on Oct 1, 2023 (Sunday). SEDAMI @ ECAI 2023 falls under the following areas: DATA MINING, ARTIFICIAL INTELLIGENCE, SEMANTIC DATA MINING, NEURO-SYMBOLIC AI, etc. Submissions for this Workshop can be made by Jul 31, 2023. Authors can expect the result of submission by Aug 14, 2023. Upon acceptance, authors should submit the final version of the manuscript on or before Aug 21, 2023 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the SEDAMI @ ECAI 2023
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Credits and Sources |
| [1] SEDAMI @ ECAI 2023 : The Semantic Data Mining Workshop @ ECAI 2023 |
