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An introduction to the practice of semantic data modeling, with focus on recognizing and avoiding bad practices when developing ontologies, taxonomies, knowledge graphs and other semantic data artifacts.
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We will consider OWL and SKOS as our modeling frameworks.
We will draw examples from well-known public semantic models such as Schema.org, KBPedia, FIBO and SNOMED
This class will be highly collaborative and interactive.
Beginner - Intermediate
Some knowledge of OWL and SKOS is desired but not necessary
Our All-Access Passes are a must if you want to get the most out of this event.
Check them outWorking since 2006 at the intersection of data, semantics, and software, contributing to building intelligent systems that deliver value to business and society. Currently Head of Ontology at Textkernel BV, leading a team of data professionals in developing and delivering a large cross-lingual Knowledge Graph in the HR and Recruitment domain. Author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas" (O'Reilly, 2020)