MLKgraphs 2022

The 4th International Workshop on Machine Learning and Knowledge Graphs

email: dexa@iiwas.org
Papers submission: https://easychair.org/conferences/?conf=mlkgraphs2022


  IMPORTANT DATES  

  • Paper submission: March 7th, 2022
  • Notification of acceptance: May 10th, 2022
  • Camera-ready copies due: June 1st, 2022


PUBLICATION
All accepted MLKgraphs 2022 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc..

SCOPE
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 4th 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.
 
TOPICS OF INTEREST

  • 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

 
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_guidelines
Online Papers Submission: https://easychair.org/conferences/?conf=mlkgraphs2022
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.
 
COMMITTEE
Program Committee Co-chairs

Program Committee members (to be confirmed)

  • 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
  • Sanju Mishra Tiwari , Universidad Autonoma de Tamaulipas, Mexico
  • Marina Tropmann-Frick, Hamburg University of Applied Sciences, Germany

For further inquiries please contact (dexa@iiwas.org)