Textual CBR and Its Relation to IR
We present the SPIRE system, a hybrid case-based reasoning (CBR) and information retrieval (IR) system. It relies on a small case-base to seed the IR system to 1) select documents that are relevant to a presented problem case, and then (2) highlight within these retrieved documents passages that contain relevant information about specific case features. SPIRE aids not only problem-solving but knowledge acquisition by focusing a text extractor---person or program---on areas of text where needed information is likely to be found. Once extracted, this information can be used to create new cases or database objects, thus working on closing the loop in the problem-solving---knowledge-acquisition cycle.