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C A L L F O R P A P E R S
1st International Workshop on Machine Learning and Knowledge
Graphs (MLKgraphs 2019)
26-29 August 2019, Linz, Austria
http://www.dexa.org/mlkgraphs2019/
email:
dexa2019@iiwas.org
Paper submission:
http://confdriver.ifs.tuwien.ac.at/dexa2019/
***** IMPORTANT DATES *****
- Submission of full papers: March 31, 2019 - Notification of
acceptance: May 21, 2019 - Camera-ready copies due: June 08, 2019
***** PUBLICATIONS *****
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 1st 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 *****
• Machine Learning (plus its applications like 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 5 pages. - Formatting
guidelines please refer to
http://www.dexa.org/formatting_guidelines. - One of the authors of
an accepted paper must register to DEXA
conference and present the paper at the workshop. For paper
registration
and electronic submission, please refer to:
http://confdriver.ifs.tuwien.ac.at/dexa2019/ starting from
February
2019.
***** ORGANIZERS *****
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)
*** PC MEMBERS ****
http://www.dexa.org/mlkgraphs2019/
***** CONTACTS *****
For further conference information contact DEXA organization
office
(
hesti@iiwas.org)
-------------------------------------------------
Hesti Sudjana Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 4040 Linz, Austria
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