What Can Data Modelers Learn from Ontologists (Recorded live at Data Modeling Zone US)

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Video: .MP4, AVC, 916x514, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 1h 19m | 364 MB
Instructor: Norman Daoust

An ontology is the "study of . the basic categories of being and their relations" per Wikipedia. Ontologists have been working for thousands of years to understand reality. Data modelers have been working for less than fifty years to model portions of reality.

What can data modelers learn from ontologists? Have ontologists already created ontologies that encompass most of the concepts we need to include in our data models? Should we incorporate some of their ideas?

This presentation reviews two high level ontologies and examines their relevance to your data models. Attendees are encouraged to bring a data model so that you can fit it into an ontology during the exercise portion of the presentation.

Attendees will learn about two high-level ontologies, how they can significantly enhance your data models, five tips data modelers can adapt from ontologies, and what ontologies will not do for you.
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