Among the various tasks involved in building a Bayesian network for a real-life application, the task of eliciting all probabilities required is generally considered the most daunt...
Eveline M. Helsper, Linda C. van der Gaag, Floris ...
There is a growing interest in the use of UML class diagrams as a modeling language to represent domain ontologies. In a series of papers (e.g., [1,2]) we have been using the Gener...
Capturing and exploiting knowledge is at the heart of several important problems such as decision making, the semantic web, and intelligent agents. The captured knowledge must be a...
Vinay K. Chaudhri, Kenneth S. Murray, John Pacheco...
For more than a decade, ontologies have been proposed as a means to enable sharing and reuse of knowledge. While originally relatively narrow information landscapes have been in mi...
A new incremental knowledge acquisition approach for the effective development of efficient problem solvers for combinatorial problems based on probabilistic search algorithms is ...
The manual development of large knowledge systems is a difficult and error-prone task. In order to facilitate extensions to an existing knowledge base the structural design of the...
In order to enable knowledge sharing and reuse among software entities, artificial intelligence researchers have proposed to develop ‘ontologies’ as the explicit formal specifi...
Felix-Robinson Aschoff, Franz Schmalhofer, Ludger ...
We present a tool which helps domain experts capture and maintain constraints. The tool displays parts of an ontology (as classes, sub-classes and properties) in the form of a tree...
Suraj Ajit, Derek H. Sleeman, David W. Fowler, Dav...