SDS 479: Knowledge Graphs — with Maureen Teyssier

Understanding Graphs

Maureen Teyssier introduces knowledge graphs, highlighting their unique ability to represent complex relationships through diverse node types. Unlike traditional graphs, knowledge graphs incorporate nodes like people, properties, and companies, allowing for intricate data mapping. Jon Krohn explains that these nodes are interconnected by edges, which also carry information, enhancing the graph's utility 1 2. Maureen emphasizes the flexibility and power of knowledge graphs, stating,

The knowledge graph adds this extra layer of flexibility, and it adds power on the product side that you don't necessarily have.

--- Maureen Teyssier

This structure is particularly beneficial for applications requiring detailed data relationships 3.

   

Real Estate Applications

In the commercial real estate sector, knowledge graphs are revolutionizing how ownership structures are mapped and managed. Maureen Teyssier explains that Reonomy uses these graphs to uncover hidden ownerships among the 50 million parcels of U.S. commercial land 4. This approach not only streamlines data processing but also enhances the accuracy of property intelligence 5. She notes the importance of high-volume data pipelines, stating,

We use machine learning and AI in order to create the edges in our graph and also to define the nodes in our graph.

--- Maureen Teyssier

These tools are essential for handling the vast datasets involved in real estate analytics 6.