MLKgraphs 2023

The 5th International Workshop on Machine Learning and Knowledge Graphs

email: dexa@iiwas.org
Papers submission: https://equinocs.springernature.com/service/MLKgraphs2023


  IMPORTANT DATES  

  • Paper submission: 7 March 2023
  • Notification of acceptance: 10 May 2023
  • Camera-ready copies due: 1 June 2023
  • Conference days:  28-30 August 2023​

PUBLICATION
All accepted MLKgraphs 2023 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 5th 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). 
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.
 
SUBMISSION PROCEDURE
Papers submission will be managed using EquinOCS Springer Nature Conference Proceedings Submission System.
Authors should consult Springer’s authors’ instructions (https://www.springer.com/gp/computer-science/lncs/conference-proceedings...) and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 
Once you click on the submission link (https://equinocs.springernature.com/service/MLKgraphs2023), you will be guided to the EquinOCS Login page, which will be open in your browser. Click on the button “Submit now”. This will guide you directly to the paper submission process. If you already have an account at EquinOCS you will be asked to Login. After Login you will be guided to the start page where you can start with your submission. If you yet do not have an account at EquinOCS, please follow the registration process. Once your Account has been created an email will be sent to the address you have stated in the registration process. Please follow the instructions in this mail to activate your account and start your submission.
Please refer to EquinOCS user guide (https://support.springernature.com/en/support/solutions/articles/6000245...) for more information.
 
COMMITTEE
Program Committee Chair
• Jorge Martinez-Gil, Software Competence Center Hagenberg, Austria (jorge.martinez-gil@scch.at)
 
Program Committee members: TBA
 
For further inquiries please contact (dexa@iiwas.org)