Scientific literature has been quickly expanding as the availability of articles in electronic form has increased rapidly. For the scientific researcher and the practitioner alike, keeping track with the advancement of the research is an ongoing challenge, and for the most part, the mass of experience recorded in the scientific literature is largely untapped. In particular, novice scientists, non researchers, and students would benefit from a system proposing recommendations for the problems they are interested in resolving. This article presents the first stages of the Digital Knowledge Finder design, a case-based reasoning system to manage experience from the scientific literature. One of the main functionality of the system is to enable both to represent the experience in a declarative and searchable form, and to reason from it through reuse – the latter being a consequence of the former. This article focuses on research findings mining and results from an aging literature dataset.
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