Table of Contents

The Semantic Data Mining (SEDAMI) Workshop

SEDAMI webapge is http://sedami.geist.re

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 the context of machine learning and data mining, focusing on domains and research questions that have not been deeply investigated so far and to improve solutions to classic tasks. 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 preservation of knowledge, as well as the provisioning of explanations.

The 2nd edition of SEDAMI will be co-located with the 26th European Conference on Artificial Intelligence (ECAI 2023).

The 1st edition of SEDAMI was co-located with 30th International Joint Conference on Artificial Intelligence (IJCAI-21) see CEUR-WS Vol-3032.

SEDAMI 2023 at ECAI 2023

Program

Schedule

The presentation should be around 15 minutes with 5 minutes for questions. The total time reserved from one presentation is 20 minutes.

TimeAccepted paper
09:00 - 09:10 Introduction to the workshop
09:10 - 09:30 Visual patterns in an interactive app for analysis based on control charts and SHAP values
Iwona Grabska-Gradzińska, Maciej Szelążek, Szymon Bobek and Grzegorz J. Nalepa
09:30 - 09:50 Improving understandability of explanations with a usage of expert knowledge
Maciej Szelążek, Szymon Bobek and Grzegorz J. Nalepa
09:50 - 10:20 Post–Mining on Association Rule Bases
Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch and Martin Atzmueller
10:20 - 10:30 Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks
Yunming Hui, Melisachew Wudage Chekol and Shihan Wang

Organising committee

Important dates

Call for papers

Aims and Scope

The general goal of data mining is to uncover novel, interesting, and ultimately understandable patterns, cf. (Fayyad 1996), i.e., relating to valuable, useful and implicit knowledge. Looking at the development of data mining in the last decades, it can be observed that not only the data mining tasks used to be more restricted, but also the applied data mining workflows were simpler. Thus, recent advances of data mining and machine learning apparently bring new challenges in its practical use in data mining, including interpretability, introduction and preservation of knowledge, as well as the provisioning of explanations. Using semantic information such as domain/background knowledge in data mining is a promising emerging direction for addressing these problems, where the knowledge is typically represented in a knowledge repository, such as an ontology, or a knowledge base. The main aspect of semantic data mining, which we focus on in this workshop, is the explicit integration of this knowledge into the data mining and knowledge discovery modeling step, where the algorithms for data mining/modeling or post-processing make use of the formalized knowledge to improve the overall results.

The aim of this workshop, is to get an insight into the current status of research in semantic data mining, showing how to include/utilize/exploit semantic information and domain knowledge in the context of machine learning and data mining, focussing on domains and research questions that have not been deeply investigated so far and to improve solutions to classic tasks.

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 preservation of knowledge, as well as the provisioning of explanations - thus addressing important principles, methods, tools and future research directions in this emerging field.

Topics of interest

Overall, we are interested in receiving papers related to the following topics which include but are not limited to:

Program Committee (tentative)

Submission details

The publication of proceedings (full papers only) of the SEDAMI will be part of the Springer's CCIS book series. It will be possible to make individual papers Open Access, at the discretion and cost of the authors, by following the Springer procedure described here.

Please submit papers using the dedicated Easychair We are accepting short papers that will not be published in Springer CCIS book – 5-6 pages (not including references), and full papers – 10-15 pages (not including references). We are encouraging both original research papers, as well position papers. All submissions should be formatted using the Springer LNCS format.

Furthermore, we encourage tool presentations. Depending on the number of submissions, long papers will be 20-30 minutes and short papers 15-20 minutes including Q&A. For the workshop we are expecting around 20-30 participants to attend.

All submitted papers must: