This is an old revision of the document!


The Semantic Data Mining (SEDAMI) Workshop

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.

SEDAMI 2021 at IJCAI 2021

Call for papers

Motivation for the workshop

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.

Topics of interest

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

  • Introduction of semantics into the data mining process
  • Declarative domain knowledge
  • Declarative data mining
  • Knowledge modelling 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

Workshop format

We are aiming at the 0.5-day workshop that includes regular paper presentations of peer reviewed research papers (10-12 pages including references), as well as peer-reviewed short or position papers (5-6 pages including references). 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. Should IJCAI 2021 be held online because of the COVID-19 situation, then we are willing to hold the workshop online.

Program Committee

Important dates

  • Submission Deadline: May 4, 2021 (AoE)
  • Notification of Acceptance: May 25, 2021 (AoE)
  • Camera-Ready Versions Due: June 6, 2021 (AoE)
  • Workshop date: August 21-26, 2021

Submission details

Please submit papers using the dedicated CMT installation Conference Management Toolkit We are accepting short papers – 5 pages with references, and long papers – 10 pages. We are encouraging both original research papers, as well position papers. All submissions should be formatted using the Springer LNCS format. Workshop proceedings will be made available by CEUR-WS. A post workshop journal publication is considered.

sedami/start.1617220870.txt.gz · Last modified: 2021/03/31 20:01 by sbk
Driven by DokuWiki Recent changes RSS feed Valid CSS Valid XHTML 1.0