The Cyc KB has a rich pre-existing ontology for representing common sense knowledge. To clarify and enforce its terms’ semantics and to improve inferential efficiency, the Cyc on...
John Cabral, Robert C. Kahlert, Cynthia Matuszek, ...
Abstract. Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problem of adaptive reasoning in a multi-ontology environment. It is a case-based r...
Abstract. This paper has as main goal to develop a hybrid expert system to minimize some of the complexity problems related to arti cial intelligence eld. For instance, we can ment...
Lourdes Mattos Brasil, Fernando Mendes de Azevedo,...
For knowledge representation and reasoning, there is a need to consider the nature of events because event data describe various features and behaviors of the occurrences of action...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...