Bayesian ontologies in AI systems
Date
2006-07-30T03:10:44Z
Authors
Costa, Paulo C. G.
Laskey, Kathryn B.
AlGhamdi, Ghazi
Journal Title
Journal ISSN
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Abstract
Ontologies have become ubiquitous in current-generation information systems. An ontology is an explicit, formal representation of the entities and relationships that can exist in a domain of application. Following a well-trodden path, initial research in computational ontology has neglected uncertainty, developing almost exclusively within the framework of classical logic. As appreciation grows of the limitations of ontology formalisms that cannot represent uncertainty, the demand from user communities increases for ontology formalisms with the power to express uncertainty. Support for uncertainty is essential for interoperability, knowledge sharing, and knowledge reuse. Bayesian ontologies are used to describe knowledge about a domain with its associated uncertainty in a principled, structured, sharable, and machine-understandable way. This paper considers Multi-Entity Bayesian Networks (MEBN) as a logical basis for Bayesian ontologies, and describes PR-OWL, a MEBN-based probabilistic extension to the ontology language OWL. To illustrate the potentialities of Bayesian probabilistic ontologies in the development of AI systems, we present a case study in information security, in which ontology development played a key role.
Description
Paper presented at the Fourth Bayesian Modelling Applications Workshop, held at the Twenty Second Conference on Uncertainty in Artificial Intelligence (UAI 2006). July, 13 2006, Cambridge, MA, USA.
Keywords
PR-OWL, Probabilistic ontologies, Multi-entity Bayesian networks, Bayesian networks, DTB, Behavioral model, Uncertainty reasoning
Citation
Costa, Paulo C. G.; Laskey, Kathryn B.; and Alghamdi, Ghazi (2006) Bayesian Ontologies in AI Systems. Proceedings of the Fourth Bayesian Modelling Applications Workshop, held at the Twenty Second Conference on Uncertainty in Artificial Intelligence (UAI 2006). July, 13 2006, Cambridge, MA, USA.