CfP: 2nd International Workshop on Machine Learning and Knowledge Graphs (@ DEXA 2020)

Call for Papers

2nd International Workshop on Machine Learning and Knowledge Graphs
(MLKgraphs 2020)
Co-located with DEXA 2020

September 14 - 17, 2020
Bratislava, Slovakia

     Paper submission: March 16, 2020
     Notification of acceptance: May 20, 2020
     Camera-ready copies due: June 19, 2020

All accepted papers will be published by Springer in "Communications in 
Computer and Information Science".

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.

- Machine Learning (plus its applications such as for Chatbots, 
Robotics, Social Networks, Fault Detection, Predictive Maintenance, Life 
Sciences, Neurosciences …) applied on semantic data management 
- 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 
English. Submitted papers should not exceed 10 pages (for a full paper) 
and 5 pages (for a short paper).
Formatting guidelines:
Online paper submission:

     Anna Fensel, University of Innsbruck, Austria
     Jorge Martinez-Gil, Software Competence Center Hagenberg, Austria
     Bernhard Moser, Software Competence Center Hagenberg, Austria

     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
     Vit Novacek, National University of Ireland Galway, Ireland
     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
     Marina Tropmann-Frick, Hamburg University of Applied Sciences, 
     Adrian Ulges, RheinMain University of Applied Sciences, Germany

Ass.-Prof. Dr. Anna Fensel

Semantic Technology Institute (STI) Innsbruck,
Department of Computer Science,
University of Innsbruck,
Technikerstraße 21a,
A-6020 Innsbruck,

t: +43-512-507-53720

Received on Saturday, 29 February 2020 11:46:38 UTC