#59 Knowledge Graphs as the Engine for Collaboration Across Data - KGC Takeover Interview w/ Philippe Höij

Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB) https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Transcript for this episode (https://docs.google.com/document/d/1ls5QawrOffb3VGIfZCmPYHG0v729Ye7Gu7oKRaOYi8c/edit (link)) provided by Starburst. See their Data Mesh Summit recordings https://www.starburst.io/learn/events-webinars/datanova-on-demand/?datameshradio (here) and their great data mesh resource center https://www.starburst.io/info/distributed-data-mesh-resource-center/?datameshradio (here) Knowledge Graph Conference website: https://www.knowledgegraph.tech/ (https://www.knowledgegraph.tech/) Free Ticket Raffle for Knowledge Graph Conference (submissions must be by April 18 at 11:59pm PST): https://forms.gle/Gy8KSMNDxbBfib2Z6 (Google Form) At the wrap-up, Philippe mentioned that data architects should be able to communicate in ways other than PowerPoint. We need new and better ways to express ourselves, and the way things are connected. We will always need metadata around our data, we need text to express our ambiguity; but we don't have great ways to express things that are slightly ambiguous - not fully formed but also mostly known. A good tool allows to more easily query your model of the world to iterate and increment on it. That is where knowledge graphs can be the most helpful. Ellie responded, "It's not difficult, it's just complicated." Philippe shared his journey towards knowledge graphs, especially thinking about the AIDITTO project he and a team built out of the "Hack the Crisis Sweden" event in 2020 around COVID-19. He needed a way to prototype, visualize and collaborate on data and the connections between data at scale. A regular data model does not convey enough information about what the data is and how it relates. Ellie then shared some insight into the difficulties around collaborating on data across organizations and people in her climate