MLKGraphs2021: The 3rd International Workshop on Machine Learning and Knowledge Graphs Online, Austria, September 27, 2021 |
Conference website | http://www.dexa.org/mlkgraphs2021 |
Submission link | https://easychair.org/conferences/?conf=mlkgraphs2021 |
Submission deadline | April 23, 2021 |
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 3rd 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.
Submission Guidelines
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: http://www.dexa.org/formatting_guidelinesOnline
- Papers Submission: https://easychair.org/conferences/?conf=mlkgraphs2021
List of Topics
- 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
Committees
Program Committee
- Anastasia Dimou, Ghent University, Belgium
- Lisa Ehrlinger, Johannes Kepler University & Software Competence Center Hagenberg, Austria
- Agata Filipowska, Poznan University of Economics, Poland
- Isaac Lera, University of the Balearic Islands, Spain
- Femke Ongenae, Ghent University, Belgium
- Mario Pichler, Software Competence Center Hagenberg, Austria
- Artem Revenko, Semantic Web Company GmbH, Austria
- Marta Sabou, Vienna University of Technology, Austria
- Harald Sack, Leibniz Institute for Information Infrastructure & KIT Karlsruhe, Germany
- Iztok Savnik, University of Primorska, Slovenia
- Marina Tropmann-Frick, Hamburg University of Applied Sciences, Germany
Organizing committee
- Anna Fensel, University of Innsbruck, Austria (anna.fensel@sti2.at)
- Jorge Martinez-Gil, Software Competence Center Hagenberg, Austria (jorge.martinez-gil@scch.at)
- Bernhard Moser, Software Competence Center Hagenberg, Austria (bernhard.moser@scch.at)
Publication
All accepted papers will be published by Springer in "Communications in Computer and Information Science".
by Springer
Venue
The conference will be held online
Contact
All questions about submissions should be emailed to PC chairs/co-Chairs