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MLKgraphs 2022 : The 4th International Workshop on Machine Learning and Knowledge Graphs

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Link: https://www.dexa.org/mlkgraphs2022
 
When Aug 22, 2022 - Aug 22, 2022
Where Vienna
Submission Deadline Apr 14, 2022
Notification Due May 10, 2022
Final Version Due Jun 1, 2022
Categories    machine learning   knowledge graphs
 

Call For Papers

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: April 14th, 2022 (FINAL)
Notification of acceptance: May 10th, 2022
Camera-ready copies due: June 1st, 2022
Workshop days: August 22nd - 24th, 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

Jorge Martinez-Gil, Software Competence Center Hagenberg, Austria (jorge.martinez-gil@scch.at)

Program Committee members

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)

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