Graph Database in Practice 2021
Graph Database
As a backend of AI systems, database management systems (DBMS) are dramatically evolving. Among various DBMS, graph database is one of the emerging technology gathering attention in various industries. Its capabilities to manage relationships of entities and to execute graph algorithms have potential to increase the information coverage of AI input. However, its practical utilisation is just started and still in discovery.
GDBP 2021
Graph Database in Practice 2021 (GDBP 2021) aims to facilitate the knowledge sharing on the actual use cases and methods to utilize graph databases in the real-world applications, and also discussions on future development of tools and their eco-systems to accelerate the use of graph databases. For potential users, this is the best opportunity to learn about the technology itself as well as its use cases. Also, for researchers and developers, this is a unique opportunity to share your ideas and actual problems in industry, and to engage in international collaborative projects.
Twitter: #gdbp2021
Date & Location
Symposium
Date: Nov 24 (Wed) 17:00-19:30
Location: Online (Zoom)
Registration is free!
Download all slides from here
Tutorial & Workshop
Program Committee
Hidetaka Hando (CAGLA)
Hirokazu Chiba (Database Center for Life Science)
Ryota Yamanaka (Oracle)
Toshiyuki Yokoyama (PolityLink)
(listed in alphabetical order)