This post is part of my attempt to create a start to finish* or end-to-end knowledge engineering process description for (legal) expert systems. Problem identification is a great place to start. Problem Identification There's no real methodology involved with identifying a problem. Problems just happen. The knowledge engineer's job is to examine the problem and ask 3... Continue Reading →
The people who make the machines smart: anatomy of a knowledge engineering team
It takes a lot of humanity to make machines intelligent. At least, that's true for expert systems. An expert system with an empty knowledge base is actually quite dumb. It depends completely on people to collect its knowledge, put it in the right form, load it up and then look after its ongoing care and feeding.... Continue Reading →