This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
As the amount of data being generated in biology has increased, a major challenge has been how to store and represent this data in a way that makes it easily accessible to researc...
Michael Backhaus, Janet Kelso, Joshua Bacher, Hein...
Classical visual servoing techniques need a strong a priori knowledge of the shape and the dimensions of the observed objects. In this paper, we present how the 2 1/2 D visual serv...
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, ...
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...