Executing successfully a Knowledge Graph initiative in an organization requires a series of strategic decisions that need to be taken before and during the execution.

Issues like how to balance the (inevitable) knowledge quality trade-offs, how to prioritize knowledge evolution, or how to allocate resources between new knowledge delivery and technology improvement, are often not contemplated early or adequately enough, resulting into frictions and sub-optimal results.

In this talk, I describe some key strategic dilemmas that Architects and Executives face when designing and executing Knowledge Graph projects, and discuss potential ways to deal with them.

Panos Alexopoulos
Head of Ontology, Textkernel BV

Panos Alexopoulos has been working at the intersection of data, semantics, language and software for years, and is leading a team at Textkernel developing a large cross-lingual Knowledge Graph for HR and Recruitment. Alexopoulos holds a PhD in Knowledge Engineering and Management from National Technical University of Athens, and has published 60 papers at international conferences, journals and books.

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