Building Knowledge Graphs With Semiont
Building Knowledge Graphs With Semiont
Semiont is an open source Human+AI knowledge platform. It can be used to build Wikis, Knowledge Bases, Semantic Layers, Context Graphs, or Agentic Memory.
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.
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 Graph - 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
This meeting is sponsored by IBM, AtA Systems, and The AI Alliance.