In this talk, we will delve deeper into the significance of knowledge graphs as facilitators of large-scale data semantics. The discussion will encompass the core concepts, challenges, and strategic considerations that architects and decision-makers encounter while initiating and implementing knowledge graph projects.
The more regulations that organisations have to deal with (GDPR, Data Act, AI Act) the more important it is to understand your data and data storage. Data modelling is crucial here but which type of data model fits best for which application? Tanja Ubert discusses the most common types of data models, the relationship between them and when best to apply which type.
In this presentation Matthijs Stel will show how data management is implemented in a practical way at Evides – a drinking water supplier for 2.5 million consumers and companies in the South-West of the Netherlands. Where to start? How to engage stakeholders? How to stay relevant? And how to anchor the strategy within the organization?
In this half-day virtual workshop Thomas Frisendal will showcase what and how graph technologies imply from practical perspectives and which tools are available. He will also demonstrate how graph solutions are different as well as how traditional databases and graphs are complementary to each other. The combination of the two is really powerful, and, fortunately, relatively easy to implement.
Ever since Google announced its Knowledge Graph solution in 2012 the paradigm has found its way into many real-world use cases, mostly in the analytics space. This presentation will cover what a Knowledge Graph is, how it is different and yet complementary and will look at vendors, products and standards.
