A Knowledge Artifact (KA)-based approach to the modeling of Knowledge Based Systems is presented. Its main feature is to consider a KA as a conceptual and computational knowledge model of decision making. During knowledge engineering activities, a domain and problem dependent language defined according to the KA is adopted to represent the knowledge model. This approach aims to support expert users in Knowledge Maintenance, a crucial activity to prevent the decrease of overall system effectiveness due to application domain dynamism and knowledge base aging. The compounding problem is adopted as a case study to exemplify the approach.
Bandini, S., Colombo, E., Sartori, F., Vizzari, G. (2008). Supporting knowledge maintenance through knowledge artifacts. JOURNAL OF INTELLIGENT SYSTEMS, 17(1-3), 185-198 [10.1515/JISYS.2008.17.1-3.185].
Supporting knowledge maintenance through knowledge artifacts
BANDINI, STEFANIA;SARTORI, FABIO;VIZZARI, GIUSEPPE
2008
Abstract
A Knowledge Artifact (KA)-based approach to the modeling of Knowledge Based Systems is presented. Its main feature is to consider a KA as a conceptual and computational knowledge model of decision making. During knowledge engineering activities, a domain and problem dependent language defined according to the KA is adopted to represent the knowledge model. This approach aims to support expert users in Knowledge Maintenance, a crucial activity to prevent the decrease of overall system effectiveness due to application domain dynamism and knowledge base aging. The compounding problem is adopted as a case study to exemplify the approach.
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