Dynamic EMCUD for knowledge acquisition
Expert Systems with Applications: An International Journal
A Delphi-based approach to developing expert systems with the cooperation of multiple experts
Expert Systems with Applications: An International Journal
VODKA: Variant objects discovering knowledge acquisition
Expert Systems with Applications: An International Journal
Foundations of ontology-based MAS methodologies
AOIS'05 Proceedings of the 7th international conference on Agent-Oriented Information Systems III
Analyzing domain expertise by considering variants of knowledge in multiple time scales
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
| Hi-index | 0.00 |
The knowledge acquisition (KA) process has evolved during the last years. Today KA is considered a cognitive process that involves both a dynamic modeling and knowledge generation activities. This should be seen as a spiral of epistemological and ontological content that grows up by transforming tacit knowledge into explicit knowledge, which in turn becomes the basis for a new spiral of knowledge generation. This paper shows some of our attempts to build a new knowledge acquisition methodology that collects and includes all of these ideas. KAMET II, the evolution of KAMET [1], represents a modern approach for building diagnosis-specialized knowledge models that could be run by Protégé.