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sedami:start [2021/05/12 19:57] – [Important dates] gjn | sedami:start [2023/09/26 10:49] – [Schedule] sbk | ||
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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/ | 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/ | ||
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, | 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, | ||
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+ | The 2nd edition of SEDAMI will be co-located with the [[https:// | ||
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+ | The [[start2021|1st edition of SEDAMI]] was co-located with [[https:// | ||
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+ | ====== SEDAMI 2023 at ECAI 2023 ====== | ||
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+ | ====== Program ====== | ||
+ | * The workshop will take place on Sunday, October 1st | ||
+ | * Location: [[https:// | ||
+ | * Session starts at 9:00, see [[https:// | ||
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+ | ===== Schedule ===== | ||
+ | TBA | ||
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**Organising committee** | **Organising committee** | ||
- | * Martin Atzmueller, | ||
- | * Grzegorz J. Nalepa, | ||
* Szymon Bobek, | * Szymon Bobek, | ||
+ | * Martin Atzmueller, | ||
* Nada Lavrac, Jožef Stefan Institute, Slovenia | * Nada Lavrac, Jožef Stefan Institute, Slovenia | ||
- | ====== SEDAMI 2021 at IJCAI 2021 ====== | ||
===== Important dates===== | ===== Important dates===== | ||
- | * ** Submission Deadline: | + | * **Submission Deadline: |
- | * //We plan to have a rolling review process for late/ | + | * **Notification of Acceptance: |
- | * ** Notification of Acceptance: | + | * **Camera-Ready Versions Due: |
- | * ** Camera-Ready Versions Due: | + | * **Workshop date: |
- | * ** Workshop date: | + | |
===== Call for papers ===== | ===== Call for papers ===== | ||
- | {{ :sedami:sedami2021-cfp.pdf |Call For Papers | + | * Full CFP: {{ :sedami:sedami2023-cfp.pdf |Call for papers}} |
- | ===== Motivation for the workshop | + | * One-pager: {{ : |
+ | ===== Aims and Scope ===== | ||
The general goal of data mining is to uncover novel, interesting, | The general goal of data mining is to uncover novel, interesting, | ||
Thus, recent advances of data mining and machine learning apparently bring new challenges in its practical use in data mining, including interpretability, | Thus, recent advances of data mining and machine learning apparently bring new challenges in its practical use in data mining, including interpretability, | ||
Using semantic information such as domain/ | Using semantic information such as domain/ | ||
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+ | The aim of this workshop, is to get an insight into the current status of research in semantic data mining, showing how to include/ | ||
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+ | 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, | ||
===== Topics of interest ===== | ===== Topics of interest ===== | ||
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topics which include but are not limited to: | topics which include but are not limited to: | ||
- | * Declarative data mining | ||
- | * Declarative domain knowledge | ||
- | * Knowledge modelling and data mining | ||
- | * Data mining and machine learning using ontologies | ||
* Introduction of semantics into the data mining process | * Introduction of semantics into the data mining process | ||
- | * Interpretable models in data mining | + | * Explainable artificial intelligence |
- | * Knowledge-based | + | * Declarative domain knowledge |
- | * Role of explanations in data mining and machine learning | + | * Declarative |
- | * Knowledge-graphs in data mining | + | * Declarative explainable artificial intelligence |
+ | * Integration | ||
+ | * Neuro-symbolic artificial intelligence | ||
+ | * Knowledge | ||
* Feature engineering for transparency and explanation | * Feature engineering for transparency and explanation | ||
- | * Transparent and hybrid | + | * Knowledge-based data mining approaches |
+ | * Knowledge-graphs in data mining | ||
+ | * Interpretable | ||
+ | * Role of explanations in data mining | ||
* Inductive logic programming and data mining | * Inductive logic programming and data mining | ||
+ | * Transparent and hybrid models in data mining | ||
* Human in the loop of the data mining process | * Human in the loop of the data mining process | ||
* Role of Linked Open Data in data mining | * Role of Linked Open Data in data mining | ||
* Applications of all of the above | * Applications of all of the above | ||
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===== Program Committee (tentative) ===== | ===== Program Committee (tentative) ===== | ||
+ | * Sören Auer, Leibniz University of Hannover & TIB, Germany | ||
* Klaus-Dieter Althoff, University of Hildesheim & DFKI, Germany | * Klaus-Dieter Althoff, University of Hildesheim & DFKI, Germany | ||
- | * Martin Atzmueller, Osnabrück | + | * Przemysław Biecek, Warsaw |
- | * Szymon Bobek, Jagiellonian | + | * Johannes Fürnkranz, Johannes Kepler University Linz, Austria |
- | * Grzegorz J. Nalepa, Jagiellonian | + | * João Gama, University of Porto, Portugal |
- | * Nada Lavrac, Jožef Stefan Institute, Slovenia | + | * Kristian Kersting, TU Darmstadt, Germany |
+ | * Stan Matwin, Dalhousie | ||
+ | * Sławomir Nowaczyk, Halmstad | ||
+ | * Jose Palma, Universidad de Murcia, Spain | ||
+ | * Mykola Pechenizkyi, TU Eindhoven, The Netherlands | ||
* Marc Plantevit, Université Lyon, France | * Marc Plantevit, Université Lyon, France | ||
* Eric Postma, Tilburg University, The Netherlands | * Eric Postma, Tilburg University, The Netherlands | ||
* Céline Rouveirol, Université Sorbonne Paris Nord, France | * 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 | * Blaž Škrlj, Jožef Stefan Institute, Slovenia | ||
+ | * Jerzy Stefanowski, | ||
+ | * Stefano Teso, KU Leuven, Belgium | ||
+ | * Gerhard Weikum, Max Planck Institute for Informatics, | ||
+ | * Filip Železny, CTU, Prague, Czech Republic | ||
+ | * Agnieszka Ławrynowicz, | ||
+ | * Weronika T. Adrian, AGH UST, Krakow, Poland | ||
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===== Submission details ===== | ===== Submission details ===== | ||
- | Please submit papers using the dedicated [[https:// | ||
- | Furthermore, | + | {{: |
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+ | Please submit papers using the dedicated [[https:// | ||
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+ | Furthermore, | ||
All submitted papers must: | All submitted papers must: | ||
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* be formatted according to the [[https:// | * be formatted according to the [[https:// | ||
* be in PDF (make sure that the PDF can be viewed on any platform). | * be in PDF (make sure that the PDF can be viewed on any platform). | ||
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