A Humane Overview of Knowledge Graphs and Graph Data Science

Knowledge graphs are a contemporary trend in organising data in order to extract insight. As a horizontal technology, they have broad applicability across many fields of study. Knowledge graphs are, perhaps, at their most interesting when combined with real-world data to create digital twins which can be used to investigate the built environment amongst many other domains.

In this talk, we will introduce the Neo4j graph database (for storage and query of knowledge graphs) and its companion graph data science library (for high-performance graph compute). We'll show how we build knowledge graphs to represent the built environment and how we can use the tools to make sense of that data.

Dr Jim Webber is Neo4j’s Chief Scientist and Visiting Professor at Newcastle University. At Neo4j, Jim leads the Systems Research Group, working on a variety of database research topics with a focus on fault-tolerance. He also co-wrote Graph Databases (1st and 2nd editions, O’Reilly) and Graph Databases for Dummies (Wiley). Prior to Neo4j, Jim worked on fault-tolerant distributed systems. First at Newcastle University startup Arjuna and then for a variety of clients for global consulting firm ThoughtWorks. Along the way Jim co-authored the books REST in Practice (O’Reilly) and Developing Enterprise Web Services - An Architect’s Guide (Prentice Hall). Find out more about Jim Webber on his website. He tweets sometimes at @jimwebber.