[AISWorld] 1st International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2019)

Hesti Sudjana hesti.sudjana at jku.at
Tue Feb 26 03:41:10 EST 2019


       We apologize if you receive multiple copies of this CFP

                            C  A  L  L  F O R  P A P E R S

            1st International Workshop on Machine Learning and Knowledge
                                        (MLKgraphs 2019)

                                      26-29 August 2019, Linz, Austria

                                   email: dexa2019 at iiwas.org
                Paper submission:

- 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
• Artificial Intelligence
• Deep Learning
• Cognitive Computing
• Question Answering Systems
• Image Analysis
• Text Analytics
• Industry 4.0
• Internet of Things
• Smart Cities 

- Authors are invited to submit electronically original contributions in
- Submitted papers should not exceed 5 pages. 
- Formatting guidelines please refer to
- 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

***** ORGANIZERS *****
Anna Fensel, University of Innsbruck, Austria (anna.fensel at sti2.at)
Jorge Martinez-Gil, Software Competence Center Hagenberg, Austria
(Jorge.Martinez-Gil at scch.at)
Bernhard Moser, Software Competence Center Hagenberg, Austria
(bernhard.moser at scch.at)

*** PC MEMBERS ****

***** CONTACTS *****
For further conference information contact DEXA organization office
(hesti at iiwas.org)

Hesti Sudjana 
Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 
4040 Linz, Austria

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