The 2nd International Workshop on Machine Learning and Knowledge Graphs - MLKgraphs2020


September 14 - 17, 2020
Bratislava, Slovakia
Papers submission:

  • Paper submission: March 16, 2020
  • Notification of acceptance: May 20, 2020
  • Camera-ready copies due: June 19, 2020

All accepted papers will be published by Springer in "Communications in Computer and Information Science".

Knowledge Graphs are becoming a key technology for large-scale information processing systems containing massive collections of interrelated facts. Specifically, Knowledge Graphs provide the means for development of the newest data methods for data management, data fusion, data merging, and graph optimization and modeling, serving as a source of high quality data and a base for web-scale information integration.
The 2nd International Workshop on Machine Learning and Knowledge Graphs aims to be a meeting point for researchers and practitioners working on the latest advances in the intersection of machine learning technologies and knowledge graphs. Therefore, we welcome submissions of novel research that brings together the two topics of Machine Learning (ML) and Knowledge Graphs (KGs) either applying ML models for semantic data management structures (like KGs or ontologies), or by presenting newly assembled Knowledge Graphs that support the task of Machine Learning for certain application domains. Examples areas are Business Analytics, Customer Relationship Management, Fault Detection, Industry 4.0, or Social Networking.
- Machine Learning (plus its applications such as for Chatbots, Robotics, Social Networks, Fault Detection, Predictive Maintenance, Life Sciences, Neurosciences …) applied on semantic data management structures
- Data Science (including Visual Analytics, Large-Scale Data Processing, and Network Analytics)
- Knowledge Graphs and Ontologies
- State-of-the-art Data Management solutions for Machine Learning applications
- Artificial Intelligence
- Deep Learning
- Cognitive Computing
- Question Answering Systems
- Image Analysis
- Text Analytics
- Industry 4.0
- Internet of Things
- Smart Cities
Authors are invited to submit electronically original contributions in English. Submitted papers should not exceed 10 pages (for a full paper) and 5 pages (for a short paper). 
Formatting guidelines:
Online Papers Submission:
Authors of selected papers of the workshop will be invited to submit extended versions of their papers which can be published in a journal special issue after revision.
Program Committee Co-chairs
Program Committee members (to be invited):
  • Axel Polleres, WU Vienna, Austria
  • Artem Revenko, Semantic Web Company, Austria
  • Alessandro Adamou, Insight Centre, Ireland
  • Mohamed Ben Ellefi, University of Aix-Marseille
  • Jose Manuel Chaves-Gonzalez, University of Extremadura
  • Ioana Ciuciu, Babes-Bolyai University, Romania
  • Lisa Ehrlinger, Johannes Kepler University and Software Competence Center Hagenberg, Austria
  • Isaac Lera, University of The Balearic Islands, Spain
  • Ismael Navas Delgado, University of Malaga, Spain
  • Mario Pichler, Software Competence Center Hagenberg, Austria
  • Marta Sabou, TU Vienna, Austria
  • Harald Sack, Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology, Germany
  • Iztok Savnik, University of Primorska, Slovenia
  • François Scharffe, Columbia University, USA
  • Marina Tropmann-Frick, HAW Hamburg, Germany

For further inquiries please contact PC chairs/co-Chairs (