Open Supply Hub’s underlying data and technology is built with the intention of always growing in size and sophistication to match the world’s ever-increasing supply chain data needs.
The Goal: As more and more data is shared in Open Supply Hub, the system will learn and grow to not only share back the data uploaded to it, but also add additional layers of information based on patterns and relationships it sees.
How does this work?
Open Supply Hub’s database is built as a knowledge graph. This means that it can take the data uploaded to the system and, from the patterns and relationships it sees, learn to construct new ones that users might not have found or known about themselves.
What does this mean for Open Supply Hub?
Knowledge Graphs provide endless potential for how a dataset can grow and evolve, and we’re just in the foundational stages. As more and more data is added to the tool, we can imagine beginning to see benefits like:
- Using a single piece of data, for instance a product type, to automatically infer related sector(s) or processing type(s) for the facility
- Building on Google Maps geocoding technology by having extra layers of accuracy checks if a facility is listed as a farm, but appears to be in an industrial area on a map
- Spotlighting potential duplicates by identifying facilities with matching data attributes (beyond name and address) at similar geo-coordinates
From there, more expansive work can be done mapping networks and network nodes, and even making predictions based on trends in the dataset. No matter how we grow, we will always stay true to our mission of opening up supply chain data for the benefit of all.
