Building a Knowledge Graph Using Messy Real Estate Data

Building an effective knowledge graph requires a combination of data science skills and domain knowledge. Commercial real estate data provides many NLP challenges, requiring triangulation across multiple sources to be able to build a dynamic knowledge graph. We share some of the data science and data engineering challenges that we’ve encountered along the way, and how we plan to utilize this data to drive future ML-based real estate technology.