Theory Restructuring: Coarse-grained Integration of Strategies for Induction and Maintenance of Knowledge Bases

Edgar Sommer

This paper describes (the implementation of) a coarse-grained, multistrategy architecture for theory induction and maintenance, or theory, restructuring, called RRT. The aim of theory restructuring, and RRT, is to close the gaps between knowledge engineering, knowledge acquisition and machine learning, in order to better support the design, and maintenance over time, of knowledge bases. To this end, a number of subtasks in the KB-maintenance process have been identified, namely induction analysis, reorganization, and evaluation.

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