PR-OWL: A Bayesian extension to the OWL Ontology Language

• Carvalho, Rommel
• Costa, Paulo
• Ladeira, Marcelo
• Laskey, Kathryn
• Santos, Laécio
• Matsumoto, Shou
• Twardy, Charles
• Wright, Edward

Rommel Carvalho is a Ph.D. student at George Mason University. He has developed the Bayesian Network package of the UnBBayes project and is currently developing the MEBN/PR-OWL reasoner for that same project (UnBBayes-MEBN).

Paulo C. G. Costa, PhD, is an Affiliate Professor to the C4I Center at George Mason University.  He is a researcher in the field of Bayesian reasoning with a background in multi-sensor data fusion, decision support and knowledge engineering.

Marcelo Ladeira, PhD, is a Professor of Computer Science at Universidade de Brasília (UNB). He earned his B. Sc. in Mechanical Engineering in 1976 at UNB, his M. Sc. in Systems Analysis in 1981, at the Instituto Nacional de Pesquisas Espaciais, and his Ph. D. in Computer Science in 2000, at the Universidade Federal do Rio Grande do Sul. He is currently the team leader of the UnBBayes project, which includes the development of a MEBN/Pr-OWL reasoner.

Kathryn B. Laskey, PhD, is an Associate Professor of Systems Systems Engineering and Operations Research at George Mason University. She has done extensive research in methods for Bayesian knowledge modeling and dynamic knowledge-based model construction. She has developed a probabilistic modeling language encompassing first-order logic and mechanisms for dynamic model construction.

Laécio Santos is a Computer Science student at Universidade de Brasília. He is currently part of the team developing the MEBN/PR-OWL reasoner for the UnBBayes-MEBN project.

Shou Matsumoto is a Computer Science student at Universidade de Brasília. He is currently part of the team developing the MEBN/PR-OWL reasoner for the UnBBayes-MEBN project.

Charles Twardy, PhD, is a researcher at Information Extraction and Transport, Inc. He has been working on various MEBN projects using IET's Quiddity software. As an example, one of those projects is an interlocking set of MEBN fragments for Hypotheses, Sources, and Reports. Sources have credibility models which affect how much we believe their Reports. Conversely, as we learn which Reports were accurate, we update our credibility models.

Edward J. Wright, PhD, is a senior researcher at Information Extraction and Transport, Inc. He has done extensive research on Bayesian reasoning for geoespatial applications and has been working on various MEBN projects using IET's Quiddity software.