Abstract
The Knowledge-Acquisition (KA) community necessities demand more effective ways to elicit knowledge in different environments. Methodologies like CommonKADS [8], MIKE [1] 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 II1 Methodology, which is the diagnosis-specialized version of KAMET [2,3], as an alternative for creating knowledge-intensive systems attacking KE-specific risks. We describe here one of the most important characteristics of KAMET II which is the use of Protégé 2000 for implementing its CML models through ontologies.
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Cairó, O., Alvarez, J.C. (2003). KAMET II: An Extended Knowledge-Acquisition Methodology. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_12
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DOI: https://doi.org/10.1007/978-3-540-45224-9_12
Publisher Name: Springer, Berlin, Heidelberg
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