Unlike standard MDM, a knowledge graph models and surfaces the complex connections or relationships that link data, creating a powerful presentation of patterns and structures of the data.  Knowledge graphs make it possible to quickly examine the second-order and third-order relationships that exist between various data, delivering deep insights about business questions or decisions.    

Background for Presentation:

• Breaking Down Data Silos with Neo4j : https://www.youtube.com/watch?v=sZhQMeP6Al4

• Text analytics with Graph Databases: https://www.youtube.com/watch?v=oanP2HYLIbQ

• 3D Geological Modelling with Graph DB: https://www.youtube.com/watch?v=1fTSB9rvcls

Here’s what you will need to run the examples:

Neo4j Desktop Tool: https://neo4j.com/download-neo4j-now 

Example code: https://github.com/menome/neo4j-spatial-experiments

Revit model extraction: https://www.autodesk.com/autodesk-university/class/Unlock-Full-Potential-Your-MEP-Data-Case-Unified-Data-Model-2019

Additional Resources:

• Neo4j Graph Algorithms Book: https://neo4j.com/graph-algorithms-book/

• Data Science Library: https://neo4j.com/graph-data-science-library/