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Deadline Extended (26/03): 2nd International Workshop on Machine Learning and Knowledge Graphs (@ DEXA 2020)

From: Anna Fensel <anna.fensel@sti2.at>
Date: Thu, 19 Mar 2020 09:33:16 +0100
To: Public lod <public-lod@w3.org>
Message-ID: <ae7d89629ae11152c1802c3dffaf0e05@sti2.at>
The deadline for papers submission of all DEXA 2020 conferences and 
workshops is extended to March 26th.
Authors will be allowed to present their work virtually if needed to 
ensure both the safety of participants and wide dissemination of their 
work.


-------- Original Message --------
Subject: CfP: 2nd International Workshop on Machine Learning and 
Knowledge   Graphs (@ DEXA 2020)
Date: 2020-02-29 12:35
 From: Anna Fensel <anna.fensel@sti2.at>
To: public-lod@w3.org

Call for Papers

2nd International Workshop on Machine Learning and Knowledge Graphs
(MLKgraphs 2020)
Co-located with DEXA 2020
www.dexa.org/MLKgraphs2020


September 14 - 17, 2020
Bratislava, Slovakia


IMPORTANT DATES:
     Paper submission: March 26, 2020
     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 paper submission: 
https://easychair.org/conferences/?conf=mlkgraphs2020

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

PROGRAM COMMITTEE:
     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, 
Germany
     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,
Austria

t: +43-512-507-53720
e: anna.fensel@sti2.at
w: www.anna.fensel.com
Received on Thursday, 19 March 2020 08:33:30 UTC

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