GraphSys'23The First Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems Co-located with ICPE 2023.Graphs and GraphSys The use, interoperability, and analytical exploitation of graph data are essential for modern digital economies. Today, thousands of computational methods (algorithms) and findable, accessible, interoperable, and reusable (FAIR) graph datasets exist. However, current computational capabilities lag when faced with […]
Data Week 2023 is the spring gathering of the European Big Data and Data Driven AI research and innovation communities. In Data Week, the participants share knowledge and results, discuss topics of common interest, find synergies, build new collaborations and identify new challenges and recommendations. Data Week also links the communities and their results to the […]
July 20 – 28, 2023 Predeal, Romania Organized by Bucharest University of Economic Studies, in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the projects DataCloud, enRichMyData, Graph-Massivizer, UPCAST, and InterTwino.Goal: The goal of the summer school is to familiarize students with relevant state of the art topics in data science. The program will cover fundamentals of data science and focus on […]
Organized by Bucharest University of Economic Studies in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the projects enRichMyData , Graph-Massivizer , UPCAST , INTEND , and InterTwino , The goal of this 5th edition of the Summer School is to familiarize participants with relevant state of the art topics in […]
20th International Conference on Semantic Systems We are pleased to announce that Graph-Massivizer will be featured at the Semantics Conference. We will be presenting our project outcomes through presentations and posters. More information will be coming soon on our social media channels. Stay tuned and follow us! Info on the Conference available <a href="https://2024-eu.semantics.cc/ "_blank" […]
In today’s digital landscape, complexity grows with increasing data volume and degree of interconnection. A suitable data abstraction is crucial for comprehending and navigating this dense network of connections. Graph-Massivizers is taking on this challenge and playing a key role in coordinating the Seminar. The Dagstuhl Seminar will provide a unique opportunity for encounters between […]