Although each government in Europe with their public administration services can be treated as a big data ecosystem, the opportunities of interconnecting, integrating and processing the data on EU level presents a real challenge nowadays. Discussions on public benefit of integrating and opening the data can be found in our previous work, where we examine the use of Linked Data Approach in European e-Government Systems.
This Video Lecture introduces Apache Spark (Architecture, Libraries), the underlining data structures (Resilient Distributed Dataset) and an Example with Scala.
This Video Lecture briefly introduces the use of Apache Spark and Hadoop for Data Science applications.
The Belgrade Metropolitan University, The Open University of the Netherlands and The Mathematical Institute of the Serbian Academy of Science, are organizing The Eleventh International Conference on eLearning (eLearning-2020 Conference) that will be held on September 24-25, 2020 at Belgrade Metropolitan University, Belgrade, Serbia.
The workshop ‘Knowledge Representation & Representation Learning (KR4L)’ will be held in conjunction with the 24th European Conference on Artificial Intelligence (ECAI 2020). There currently is a perceived disconnect between the areas of Representation Learning (RL) and Knowledge Representation and Reasoning (KRR). Most of the research is currently concentrated on one area or the other, yet arguably representation learning is central to make use of knowledge representation and reasoning techniques in modern, scalable AI applications.
The International Conference on Information Society and Technology (ICIST) is one of the top IT scientific events in Serbia and the region, with 70-100 papers presented each year, an average of 200 participants per edition, attended also by the number of IT industry representatives in the region.
During the Open Data Week (2- 6 March 2020), the LAMBDA project together with the Chamber of Economy and the Ministry of Public Administration of Montenegro organized an event 'Open Data - Business opportunities and innovation for SMEs and start-ups'. The event brought together experts from Serbia and Montenegro to discuss the
The 2nd edition of LAMBDA Big Data Analytics Summer School was organized by the LAMBDA consortium partners Institute Mihajlo Pupin (PUPIN), Fraunhofer Institute for Intelligent Analysis and Information Systems (Fraunhofer/IAIS), Institute for Computer Science - University of Bonn (UBO) and Department of Computer Science - University of Oxford (UOXF) on June 16th and June 17th, 2020. Because of the COVID-19, the event took place online. Overall, more than 70 participants joined the online sessions.
One of the specific objectives of LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project is developing learning materials. In the last two years project partners developed a series of learning material which is made available at the LAMBDA portal, see https://project-lambda.org/Knowledge-repository/Lectures.
As part of the LAMBDA H2020 project (Learning, Applying, Multiplying, Big Data Analytics)[1], a staff exchange was arranged between the Mihajlo Pupin Institute[2] and the University of Oxford[3] in the period from February 3rd to February 14th, 2020. During this time, three PhD students working as Junior Research Assistants at Pupin visited Oxford, UK in order to learn about tools that are being promoted in the project.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
