Expert Systems design and implementation has been always conceived as a centralized activity, characterized by the relationship between users, domain experts and knowledge engineers. The growing diffusion of sophisticated PDAs and mobile operating systems opens up to new and dynamic application environments and requires to rethink this statement. New frameworks for expert systems design, in particular rule-based systems, should be developed to allow users and domain experts to interact directly, minimizing the role of knowledge engineer and promoting the real-time updating of knowledge bases when needed. This paper present the KAFKA approach to this challenge, based on the implementation of the Knowledge Artifact conceptual model supported by Android OS devices.
Sartori, F., Melen, R. (2015). Time evolving expert systems design and implementation: The KAFKA approach. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD (IC3K-2015) (pp.84-95). SciTePress [10.5220/0005612900840095].
Time evolving expert systems design and implementation: The KAFKA approach
SARTORI, FABIO;MELEN, RICCARDO
2015
Abstract
Expert Systems design and implementation has been always conceived as a centralized activity, characterized by the relationship between users, domain experts and knowledge engineers. The growing diffusion of sophisticated PDAs and mobile operating systems opens up to new and dynamic application environments and requires to rethink this statement. New frameworks for expert systems design, in particular rule-based systems, should be developed to allow users and domain experts to interact directly, minimizing the role of knowledge engineer and promoting the real-time updating of knowledge bases when needed. This paper present the KAFKA approach to this challenge, based on the implementation of the Knowledge Artifact conceptual model supported by Android OS devices.File | Dimensione | Formato | |
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