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-------- Forwarded Message -------- Subject: [AISWorld] 1st International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2019) Date: Tue, 26 Feb 2019 09:41:10 +0100 From: Hesti Sudjana hesti.sudjana@jku.at To: aisworld@lists.aisnet.org
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C A L L F O R P A P E R S
1st International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2019)
26-29 August 2019, Linz, Austria
http://www.dexa.org/mlkgraphs2019/ email: dexa2019@iiwas.org Paper submission: http://confdriver.ifs.tuwien.ac.at/dexa2019/
***** IMPORTANT DATES ***** - Submission of full papers: March 31, 2019 - Notification of acceptance: May 21, 2019 - Camera-ready copies due: June 08, 2019
***** PUBLICATIONS ***** 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 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 ***** • Machine Learning (plus its applications like 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 5 pages. - Formatting guidelines please refer to http://www.dexa.org/formatting_guidelines. - 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.
***** ORGANIZERS ***** Anna Fensel, University of Innsbruck, Austria (anna.fensel@sti2.at) Jorge Martinez-Gil, Software Competence Center Hagenberg, Austria (Jorge.Martinez-Gil@scch.at) Bernhard Moser, Software Competence Center Hagenberg, Austria (bernhard.moser@scch.at)
*** PC MEMBERS **** http://www.dexa.org/mlkgraphs2019/
***** CONTACTS ***** For further conference information contact DEXA organization office (hesti@iiwas.org)
------------------------------------------------- Hesti Sudjana Telecooperation Departement Johannes Kepler University Linz Science Park 3, Altenberger Straße 69, 4040 Linz, Austria -------------------------------------------------
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