Using Big Heterogeneous Health Data for Personalised Medicine
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Prof. Georgios Paliouras, NCSR “Demokritos”, iASiS Project Coordinator.
Knowledge Graph Embeddings
The Lecture has been delivered at the Big Data Analytics Summer School 2020 by Dr. Sahar Vahdati, University of Oxford.
IntelliSys: Intelligent System for Road Safety
This is an Invited Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Debasis Das, Indian Institutes of Technology(IIT) Jodhpur.
Chronorobotics - Spatio-temporal models for social and service robots
This is a Lecture delivered at Big the Data Analytics Summer School 2020 by Dr. Tomas Krajnik, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague.
Soft computing for Transparent synthesis of Geo Big Data
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Dr Gloria Bordogna, Italian National Research Council IREA
Semantic information infrastructures from business information delivery to water management
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Mariana Damova, Mozajka.
Data for AI: Foresight
This is a Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Simon Scerri, Fraunhofer IAIS.
AI and Knowledge Graphs
This is a Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Emanuel Sallinger, University of Oxford.
Reasoning on Financial Knowledge Graphs: The Case of Company Networks
The initial release of KGs was started on an industry scale by Google and further continued with the publication of other large-scale KGs such as Facebook, Microsoft, Amazon, DBpedia, Wikidata and many more. As an influence of the increasing hype in KG and advanced AI-based services, every individual company or organization is adapting to KG. The KG technology has immediately reached industry, and big companies have started to build their own graphs such as the industrial Knowledge Graph at Siemens.
Scalable Knowledge Graph Processing using SANSA
The size and number of knowledge graphs have increased tremendously in recent years. In the meantime, the distributed data processing technologies have also advanced to deal with big data and large scale knowledge graphs. This lecture introduces Scalable Semantic Analytics Stack (SANSA), which addresses the challenge of dealing with large scale RDF data and provides a uni ed framework for applications like link prediction, knowledge base completion, querying, and reasoning.
