Building Knowledge Graphs - Sumit Pal, Ontotext

Building Knowledge Graphs - Sumit Pal, Ontotext

Knowledge graphs are all around us and we are using them everyday. Lot of the emerging Data management products like Data Catalogs/Fabric, MDM products are leveraging Knowledge Graphs as their engines. A knowledge graph is not a one-off engineering project. Building a KG requires collaboration between functional domain experts, data engineers, data modelers and key sponsors. It also combines technology, strategy and organizational aspects; focusing only on technology leads to a high risk of a KG’s failure. KGs are effective tools for capturing and structuring a large amount of structured, unstructured and semistructured data. As such, KGs are becoming the backbone of different systems, including semantic search engines, recommendation systems, and conversational bots and data fabric. This session guides data and analytics professionals to show the value of Knowledge Graphs and how to build semantic applications.