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

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     On Sunday, February 24, 2019 4:42 AM, Anna Fensel <anna.fensel@sti2.at> wrote:
 

 Call for Papers

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

Co-located with DEXA 2019
www.dexa.org/MLKgraphs2019/
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 
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


Important Dates:

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


Organizers:

    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, 
Germany
    Iztok Savnik, University of Primorska, Slovenia
    François Scharffe, Columbia University, USA
    Marina Tropmann-Frick, HAW Hamburg, Germany


Proceedings:

Authors are invited to submit electronically original contributions in 
English. Submitted papers should not exceed 5 pages. 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: http://confdriver.ifs.tuwien.ac.at/dexa2019/


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,
Austria

t: +43-512-507-53720
e: anna.fensel@sti2.at
w: www.anna.fensel.com