Clinton Smyth

INSPIRE standards as a framework for artificial intelligence applications: a landslide example

D. Poole, G. Roberti, Jacob McGregor, 2020, Natural Hazards and Earth System Sciences.

Ontology Design for Scientific Theories That Make Probabilistic Predictions

David Poole, Rita Sharma, Clinton Smyth, 2009, IEEE Intelligent Systems.

Semantic Science: Ontologies, Data and Probabilistic Theories

David Poole, Rita Sharma, Clinton Smyth, 2008, URSW.

Semantic Science and Machine-Accessible Scientific Theories

David Poole, Rita Sharma, Clinton Smyth, 2008, AAAI Spring Symposium: Semantic Scientific Knowledge Integration.

A framework for ontologically-grounded probabilistic matching

David Poole, Rita Sharma, Clinton Smyth, 2010, Int. J. Approx. Reason..

Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching

David Poole, Clinton Smyth, D. Poole, 2005, ECSQARU.