In the context of the LAMBDA project, exploitation is defined as sustained or continued project activities after the end of the project. Exploitation is recognized as the key enabler for the success of the project, as well as a means to improve the partners’ competitive advantages. We distinguish two types of exploitation results - tangible or non-tangible.
The 3rd edition of LAMBDA Big Data Analytics Summer School was organized by the LAMBDA consortium partners – the Institute Mihajlo Pupin (PUPIN), the Fraunhofer Institute for Intelligent Analysis and Information Systems (Fraunhofer/IAIS), the Institute for Computer Science - University of Bonn (UBO) and the Department of Computer Science - University of Oxford (UOXF) from June 15th to June 17th, 2021. Because of the COVID-19, the event took place online.
Challenges for Transforming Big data into Knowledge: Precision Medicine- A Use Case
This is akeynote lecture from prof. Maria-Esther Vidal Scientific Data Management Group TIB
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In year 2020, as part of LAMBDA activities, a Foresight Exercise was organized that brought together leading experts in the West Balkan region together with European and international experts.
One of the early preparatory steps was to contact and collect information (Preparatory activities (via Interviews, Questioners) in different level about:
You are cordially invited to attend the LAMBDA Webinar on Cognitive Conversational Assistants that will be organized on December 21, 4:00pm Brussels time (duration 45 min).
The size of knowledge graphs has reached the scale where centralised analytical approaches have become infeasible.
The NLIWOD workshop focuses on the advancement of Natural Language (NL) Interfaces to the Web of Data. The workshop has been organized four times within ISWC, with a focus on soliciting discussions on the development of question answering systems, chatbots, and other NL techniques. It is a yearly highlight for the active NL interface community centered around semantic technologies.
The following additional peer-reviewed publications with topics related to the LAMBDA project have been published by PUPIN staff, in the last three years preceding the start date of the project.
Book Chapter
Janev, V., Graux, D., Jabeen, H., Sallinger, E. (Eds.) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science vol. 12072, pp. 1-208. Springer International Publishing. ISBN 978-3-030-53198-0. DOI: https://doi.org/10.1007/978-3-030-53199-7
Download available, see Springer
Foundations
The Doctoral Workshop associated with the LAMBDA Big Data Analytics Summer School is organized with the aim to provide Ph.D. candidates an opportunity to present their research projects.
Another goal of the Workshop is to develop a supportive community within which students can begin to develop a professional network, interacting with peers and senior scholars from the field.
KEYNOTE SPEAKER
PROGRAM
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
