Title: Obliterate Silos with Knowledge Graphs

Speaker: Michael Uschold

Abstract:

Silos are a big problem in any enterprise. They arise from limitations in relational database technology including the lack of explicit semantics. We describe how to avoid silos using ontologies and knowledge graphs. We show how it works in practice and illustrate with case studies. We warn against the use of these newer technologies to gain a local advantage in an organization but ultimately recreating silos across the wider enterprise. The use of an enterprise ontology as a schema to populate an RDF-based knowledge graph opens the door to removing silos and never creating them again. The technology is mature and ready for prime time.

The slides for the presentation are available here.

The author has generously arranged for a discount coupon for his book titled Demystifying OWL for the Enterprise.

Bio:

Michael Uschold has thirty years¡¯ experience in developing and transitioning semantic technology from academia to industry. He pioneered the field of ontology engineering, co-authoring the first paper and giving the first tutorial on the topic in 1995 in the UK.

As a senior ontology consultant at Semantic Arts since October 2010, Michael trains and guides clients to better understand and leverage semantic technology using knowledge graphs. He has built commercial enterprise ontologies in finance, healthcare, legal research, consumer products, electrical devices, manufacturing, corporation registration, and digital asset management. The ontologies are used to create knowledge graphs that drive production applications. His experience has been distilled and communicated in the book: ¡°Demystifying OWL for the Enterprise¡±, published in 2018.

During 2008-2009, Uschold worked at Reinvent on a team that developed a semantic advertising platform that substantially increased revenue. As a research scientist at Boeing from 1997-2008 he defined, led and participated in numerous projects applying semantic technology to enterprise challenges. He is a frequent invited speaker and panelist at national and international events, and serves on the editorial board of the Applied Ontology Journal. He received his Ph.D. in AI from Edinburgh University in 1991 and an MSc. from Rutgers University in Computer Science in 1982.