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C A L L F O R P A P E R S
The 3rd International Workshop on Machine Learning and Knowledge
Graphs - MLKgraphs 2021
September 27 - 30, 2021
Linz, Austria (Virtual)
http://www.dexa.org/mlkgraphs2021
email:
dexa@iiwas.org
Papers submission:
https://easychair.org/conferences/?conf=mlkgraphs2021
*** IMPORTANT DATES ***
Submission of full papers: April 1, 2021 Notification of
acceptance: June 1, 2021
Camera-ready copies due: June 30, 2021
Workshop date: September 27-30, 2021
*** PUBLICATION ***
All accepted papers will be published by Springer in
"Communications in Computer and Information Science".
*** 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 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.
*** 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=mlkgraphs2021
*** SPECIAL ISSUE ***
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 ***
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)
Program committee members:
http://www.dexa.org/mlkgraphs2021
For further inquiries please contact PC chairs/co-Chairs
(
mlkgraphs2021@easychair.org)
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Hesti Sudjana
Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 4040 Linz, Austria
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