This meetup will consist of three 20 minute talks:

Intro to Knowledge Graphs Knowledge graphs are structured representations of real-world entities and the relationships between them, enabling richer data modeling than traditional relational databases. This lecture covers the core concepts — nodes, edges, and typed relationships — and how ontologies add semantic meaning. We use Neo4j as a hands-on example to explore graph querying with Cypher and see how knowledge graphs power real-world applications.

Using Semiont to Build a Knowledge Base Semiont is a new open source framework that allows a user to build a knowledge graph using common tools such as Claude Desktop or OpenClaw.  The main output is a "Knowedge Base", which includes and event log that can define a knowledge graph.

Presenting a Knowledge Graph as a Wiki With the right tooling, a knowledge graph can be presented as a familiar wiki, allowing a non-technical user to explore relationships between entities using hyperlinks, text, and images. This talk will take a Semiont produced knowledge base and transform it into a browsable wiki.

Info​

Date: May 27, 2026 at 5:30 PM CT

Location:
IBM, 6th Floor
Rm 6603
77 Wacker Dr
Chicago, IL

Livestream: Yes, details will be posted soon.

Agenda​

5:30 pm - 6:00 pm: Social and Networking

20 minutes: Introduction to Knowledge Graphs - Speaker TBD
20 minutes: Using Semiont to Build a Knowledge Base - Adam Pingel, AI Alliance
20 minutes: Presenting a Knowledge Graph as a Wiki - Joe Olson, AI Alliance

7:00 pm - 7:30 pm: Social and Networking

RSVP​

Click the link below to signup.