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

  in Conferences   Posted on February 15, 2019

Conference Information

Submission Deadline Sunday 31 Mar 2019
Conference & Submission Link http://www.dexa.org/mlkgraphs2019
Conference Dates Aug 26, 2019 - Aug 26, 2019
Conference Address Linz, Austria
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

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

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 copies 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/ starting from February 2019.

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 special issue after evaluation.

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