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CfP: 1st International Workshop on Machine Learning and Knowledge Graphs (@ DEXA 2019)

From: Anna Fensel <anna.fensel@sti2.at>
Date: Mon, 18 Mar 2019 09:58:45 +0100
To: public-lod@w3.org
Message-ID: <7fad0a1f41ccf3e95c1575dfada6362d@sti2.at>
Call for Papers

1st International Workshop on Machine Learning and Knowledge Graphs
(MLKgraphs 2019)
Co-located with DEXA 2019

Linz Austria, 26-29 August 2019

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 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 
     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

Important Dates:

     Submission of full papers: March 31, 2019
     Notification of acceptance: May 21, 2019
     Camera-ready copies due: June 08, 2019


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

Program committee

     Alessandro Adamou, Insight Centre for Data Analytics, Ireland
     Mohamed Ben Ellefi, Aix Marseille Université, France
     Jose Manuel Chaves-Gonzalez, University of Extremadura, Spain
     Ioana Ciuciu, Babes-Bolyai University, Romania
     Lisa Ehrlinger, Johannes Kepler University Linz & SCCH, Austria
     Isaac Lera, University of the Balearic Islands, Spain
     Ismael Navas Delgado, University of Malaga, Spain
     Mario Pichler, Software Competence Center Hagenberg, Austria
     Marta Sabou, Technical University Vienna, Austria
     Harald Sack, FIZ Karlsruhe & Karlsruhe Institute of Technology, 
     Iztok Savnik, University of Primorska, Slovenia
     François Scharffe, Columbia University, USA
     Marina Tropmann-Frick, HAW Hamburg, Germany


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). For formatting guidelines, please refer 
to http://www.dexa.org/formatting_guidelines. All accepted papers will 
be published by Springer in "Communications in Computer and Information 
Science. 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: 

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 evaluation.

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
e: anna.fensel@sti2.at
w: www.anna.fensel.com
Received on Monday, 18 March 2019 08:59:09 UTC

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