Speaker Panel with guests from NODES 2022 to discuss about their upcoming sessions as well as Graphs and Neo4j in General.
0:00 Intro
4:30 Estelle Scifo
6:50 Dekel Paz
9:20 Owen Brierley
16:30 Sixing Huang
19:18 Building a Neo4j/Python OGM
23:05 BlueHound: Community-Driven Security Based on Neo4j and NeoDash
30:15 Doctor.ai: A Graph-Based Medical Chatbot
37:00 Towards Real-time Knowledge Graphs for Non-Player Characters in Games
46:20 Panel
Guests:
- Estelle Scifo
Building a Neo4j/Python OGM
Leverage Cypher map projections and Python dynamic typing to build an Object Graph Mapper for Neo4j. In this step-by-step session, you'll learn how to get started on such a project, from defining the framework API to automatically building Cypher queries.
- Sixing Huang
Doctor.ai: A Graph-Based Medical Chatbot
Knowledge graphs are prevalent, especially in medicine and healthcare – but so far, only experts can operate them. A natural language chatbot can change that. We have developed a cloud-native medical chatbot called Doctor.ai, backed by a Neo4j graph.
https://twitter.com/dgg32
https://medium.com/@dgg32
- Owen Brierley
Towards Real-time Knowledge Graphs for Non-Player Characters in Games
This demonstration will show how game design researchers have implemented the use of Neo4j as a tool for creating long-term memory and knowledge for non-player characters, player performance recording, and other applications.
http://www.twitter.com/owen_brierley
http://www.obicorp.online/journal
- Dekel Paz
BlueHound: Community-Driven Security Based on Neo4j and NeoDash
BlueHound is a new open-source cybersecurity tool originally inspired by and forked from NeoDash, Neo4j’s dashboard builder, which helps create visualizations for graph data.
Register for NODES: https://r.neo4j.com/nodes-2022
#neo4j #graphdatabase