Events

Two presentations on how KgBase, or Knowledge Graph Base, can be used to create knowledge graphs for insights about data.

Lucas Werkmeister will talk about Wikimedia, a project that collects the world’s knowledge in a machine readable format.

Nous expliquerons pourquoi et comment le contexte doit être intégré dans les systèmes d'IA afin de s'assurer qu'ils sont vraiment fiables, robustes et dignes de confiance

Niké Brown will be lead an interactive discussion centred on defining what a taxonomy is, and how it is different from a thesaurus or an ontology.

In this session, participants will learn the basic concepts of graph DB, alongside real life use cases, including Elbit’s.

This meetup's topics range from applications of NLP in Geography, over multi-aspect sentiment classification to the automatic construction of knowledge graphs.

This meetup will feature talks on BERT and NLP, the Richardson API Maturity Model and knowledge graphs.

"Diffbot's aim is to build the most accurate and comprehensive map of human knowledge. The Diffbot Knowledge graph is the world’s largest database of structured data, autonomously built by extracting […]

In this presentation Bryon Jacob of data.world will cover why a data catalog is the first knowledge graph that an organization should build.

In this workshop, we will be learning how to make use of TerminusDB, an open-source git-like database to build a knowledge graph with the bike-share data.