Question Answering Systems Powered by Ontologies, Knowledge Graphs and Large Language Models
A Talk by Dan Selman (Distinguished Engineer, Docusign)
About this Talk
In this presentation Dan Selman will teach you how to define an ontology for a business domain and then to use the ontology to extract entities from text, store them in a knowledge graph, and use Large Language Models to transform natural language queries into structured graph queries.
Enterprises are awash with structured and unstructured data, and unlocking that data, and making it available to knowledge workers asking questions, will drive productivity improvements over the coming decades.
The presentation is targeted at architects, data scientists and engineers working in the ontology, data modelling and knowledge graph space. Some knowledge of large language models is beneficial, but not a requirement.
Running Open Source code will be used to illustrate many of the concepts.
About The Speakers
Distinguished Engineer, Docusign
My expertise in knowledge representation and reasoning and software development is driving the evolution of Intelligent Agreement Management. At the intersection of AI innovation and practical application, my work contributes to Docusign's leadership in the digital agreement space
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
