Adam Pease Associate Professor of Computer Science at the Naval Postgraduate School in Monterey, CA, USA
Big data is a foundation of modern AI. But relatively little attention is given to the meta-data - what is the intended meaning of that data? Ontology, especially using an expressive logic and a large reusable library of terms and definitions makes it possible and practical to capture the intended meaning of data elements, ensure they are consistent, and provide a way to ground the outputs and inputs to AI/ML systems so that people can interpret their results correctly. The same technology can provide a cross-check AI/ML outputs to ensure they are consistent with metadata, providing a way that may trap some hallucinations. This talk will discuss the SUMO library of terms and its supporting higher-order logical language, as well as its use with automated theorem provers to provide data validation.
Zur Person:
Adam Pease is Associate Professor of Computer Science at the Naval Postgraduate School in Monterey, CA, USA. He is also the Founder of Articulate Software, which builds and advises on applications using ontology and natural language processing. He has led research in ontology, linguistics, and formal inference, including development of the Suggested Upper Merged Ontology (SUMO), and the Sigma knowledge engineering environment. He is the author of the book “Ontology: A Practical Guide” and over 80 peer-reviewed papers. See www.adampease.org
Please note: The expert talk is a hybrid event (on site and online participation possible). This is the registration form for online participation. If you want to participate on site (DHBW Stuttgart, Lerchenstrasse 1), please use the respective form.
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