KRS-a hybrid system for representing knowledge in knowledge-based help systems

A description is given of the hybrid knowledge representation system (KRS). It has been designed for representing knowledge in computer-aided-software-engineering (CASE) tools, especially help systems. It supports easy encoding of the knowledge by a variety of constructs and performs efficient hybrid inferences. Knowledge acquisition is also supported by a classification procedure. Compared with other approaches for representing and retrieving information, such as hypertext or library science techniques, it supports semantic based information retrieval, as well as a natural integration of a natural language processor. Its convenience for domain modeling in a help system for the LaTex formatter is shown