On the development of a knowledge base for recommended practices in biomaterials and bioproducts selection: a CBR approach

Authors:
F. A. Batzias;C. G. Siontorou
Affiliations:
Department of Industrial Management and Technology, University of Piraeus, Piraeus, Greece;Department of Industrial Management and Technology, University of Piraeus, Piraeus, Greece
Venue:
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2012

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Abstract

This work presents a case-based reasoning (CBR) approach in Knowledge Base (KB) development. The selection of biomaterials/bioproducts is used as an exemplar to the practices recommended for transforming formalism and knowledge modeling to a suitable decision aid. It is proved that the proposed structuring of the knowledge Base can successfully cope with target-specific but inherently wide-focused queries through a dialectic tradeoff between input and inferred features. The framework can be easily adapted to other application domains, the complexity of which necessitates the dialectics/synergy between formalism-oriented knowledge modeling and content-oriented case based reasoning.