[AISWorld] Submission Deadline Extended_International Workshop on Machine Learning and Knowledge Graphs - MLKgraphs 2020 (CCIS)

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


The 2nd International Workshop on Machine Learning and Knowledge Graphs
- MLKgraphs 2020
 
                                September 14 - 17, 2020
                                 Bratislava, Slovakia
 
                           http://www.dexa.org/mlkgraphs2020
                          email: mlkgrahs2020 at easychair.org
 Papers submission:
https://easychair.org/conferences/?conf=mlkgraphs2020


*** Authors will be allowed to present their work virtually if needed to
ensure both the safety of participants and wide dissemination of their
work. We will announce further instructions regarding this in the due
time. ***
 
 
*** IMPORTANT DATES ***
Paper submission: April 6, 2020 (SHARP)
Notification of acceptance: May 20, 2020
Camera-ready copies due: June 19, 2020
 
*** 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 2nd 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=mlkgraphs2020
 
*** 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 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)

Program committees: http://www.dexa.org/mlkgraphs2020

For further inquiries please contact PC chairs/co-Chairs
(mlkgraphs2020 at easychair.org)

-------------------------------Science Park 3, Altenberger Straße 69, 
4040 Linz, Austria
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