3. Applications of the Technique In the examples presented, the relational tables were of only a few tuples. The relational table technique has a greater impact on the clarity of a system when the relations are large. An expert system to suggest travel routes using the Manhattan subway and bus systems was built at Columbia University as a project for a course in expert systems [Lerner and Cheng 83]. The system used several relational tables ineluding one of over 500 tuples to determine intersections of the rapid transit system. Use of this technique dramatically reduced the number of rules and succeeded in separating the true procedural knowledge from the database which described the transit map of the city. Besides the structural benefits of this method, the relational table technique provides a tool that knowledge engineers can use in another emerging application: the connection of expert systems and databases [Walker 83]. As databases grow and require maintenance, analysts are hired whose responsibility it is to examine large quantities of data and make management decisions based on the information gathered and computed daily by the machines. This data analysis is performed by trained human experts. With the current expert system
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