In the 2020 Knowledge Connections podcast, Juan Sequeda and Bryon Jacob from data.world explore the vital link between data catalogs and knowledge graphs. They advocate for establishing a strong data catalog, grounded in metadata and data management principles, as the cornerstone for developing a successful knowledge graph. The speakers suggest a practical "crawl, walk, run" approach: start by cataloging data (the "crawl"), then work on accessing and understanding it (the "walk"), and finally, construct the knowledge graph (the "run"). This method helps avoid the common mistake of launching into a large-scale knowledge graph without a solid grasp of the existing data. Achieving this effectively requires not just technology but also a cultural shift within organizations—specifically, fostering data ownership and defining roles such as "data product manager" and "knowledge scientist."
Sign in to continue reading, translating and more.
Continue