KAMET II: An Extended Knowledge-Acquisition Methodology

摘要

The Knowledge-Acquisition (KA) community necessities demand more effective ways to elicit knowledge in different environments. Methodologies like CommonKADS, MIKE and VITAL [6] are able to produce knowledge models using their respective Conceptual Modeling Languages (CML). However, sharing and reuse is nowadays a must-have in knowledge engineering (KE) methodologies and domain-specific KA tools in order to permit Knowledge-Based System (KBS) developers to work faster with better results, and give them the chance to produce and utilize reusable Open Knowledge Base Connectivity (OKBC)-constrained models. This paper presents the KAMET II Methodology, which is the diagnosis-specialized version of KAMET, as an alternative for creating knowledge-intensive systems attacking KE-specific risks. We describe here one of the most important characteristics of KAMET n which is the use of Protege 2000 for implementing its CML models through ontologies.