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Record link: 
http://hdl.handle.net/20.500.12708/58739
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Title: 
A Big Data Learning Platform for the West Balkans and Beyond
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Citation: 
Graux, D., Janev, V., Jabeen, H., & Sallinger, E. (2021). A Big Data Learning Platform for the West Balkans and Beyond. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 2. ITiCSE 2021 - 26th {ACM} Conference on Innovation and Technology in Computer Science Education, Paderborn, Deutschland, Germany. https://doi.org/10.1145/3456565.3460026
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Publisher DOI: 
10.1145/3456565.3460026
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Graux, Damien 
Janev, Valentina 
Jabeen, Hajira 
Sallinger, Emanuel 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
E192 - Institut für Logic and Computation 
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Published in: 
Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 2 
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Date (published): 
2021
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Event name: 
ITiCSE 2021 - 26th {ACM} Conference on Innovation and Technology in Computer Science Education 
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Event date: 
26-Jun-2021 - 1-Jul-2021
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Event place: 
Paderborn, Deutschland, Germany
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Number of Pages: 
2
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Peer reviewed: 
Yes
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Abstract: 
As the number of Big Data related methods, tools, frameworks, and solutions is growing, there is a need to classify and make available the knowledge related to this domain. This is especially useful for countries which, so far, have suffered from some lack of infra-structure in Big Data. In this article, we describe the deployment of an open online platform gathering lectures and resources, from multiple partnered European institutions, tailored for West Balkan students with a particular focus on local Big Data challenges.
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Project title: 
Scalable Reasoning in Knowledge Graphs (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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