Title: Relational.AI Knowledge Graph Management System
Speaker: Martin Bravenboer
Abstract
We present the data model, the Rel language, and reasoning algorithms
used in the RelationalAI Knowledge Graph Management System (RAI
KGMS). The RAI KGMS uses the relational model for knowledge graphs and
implements novel join algorithms to make the relational model
effective for reasoning over graphs. The same reasoning and
optimization methods are used to express knowledge and end-to-end
machine learning problems. We discuss functional and system
requirements for a system that manages a knowledge graph.
Slides
Bio
Martin Bravenboer is the VP of Engineering at RelationalAI, where he
leads the development of the RelationalAI Knowledge Graph Management
System. Before RelationalAI, he was the CTO at LogicBlox. Martin
obtained his PhD in Programming Languages at Utrecht University in the
Netherlands. During a postdoc, he developed the Doop program analysis
system that uses the LogicBlox Datalog engine.