In this paper, the background and principles of case-based reasoning are described, and we discuss how the use of a CBR(l) approach to data retrieval allows us to provide more intelligent support during the
materials selection process as compared to the support offered by more traditional databases or conventional expert systems. This will be
illustrated in particular for two case-based reasoning applications we recently developed: (a) for selecting materials corresponding to a given set of required (physical) properties and specifications, and (b) for the more challenging task of selecting materials for corrosion resistance in complex environments (e.g. mixtures of chemicals). These applications represent a first step towards the development of novel information retrieval tools that better support the engineer during the materials selection and specification phases. Keywords: case-based reasoning (CBR), data retrieval, materials selection, specification, corrosion,
chemical.