Events

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 data across the whole web. This technically very ambitious goal consists of many steps: crawling the web, using machine learning to identify relevant information on […]

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.