Patterns for modelling expert knowledge

There are different ways to model or structure the expert knowledge in a technology-based system. Some of the approaches are actually quite complicated and theoretical. At least they seem that way to me. The approach I take to knowledge engineering is what I believe to be quite a simple approach. In my view, knowledge engineering... Continue Reading →

Knowledge engineering | Scope

Knowledge engineers work to capture knowledge from a messy, abstract domain and turn it into logic-based rules structured in a very methodical way within a concrete, tangible knowledge base. Managing scope is a key to success. Managing scope of problems While work is under way to define the problem and potential responses, knowledge engineers must define... Continue Reading →

Engineering knowledge in a domain

A knowledge engineer's job is to mine domain knowledge from human subject matter experts. The domain knowledge is the knowledge in a particular field of expertise. The Ins and Outs of Domains The domain can't just be "everything" or "all knowledge." It would be too difficult to cover everything in the knowledge base. You don't... Continue Reading →

Why put experts in machines?

Computers can't do everything humans can do. But they can do some things better than most humans can. Expert systems can't do everything human experts can do. But they can do some things human experts can't. Expert systems can share expert reasoning and guidance easily and cheaply, with many people. Knowledge engineering can be difficult... Continue Reading →

The Value Proposition for Expert Systems

The value proposition for expert systems is simple. Capture the knowledge and reasoning from subject matter experts in a given domain and make it available to non-expert users through a technology-based system. Dealing with an expert system isn't the same as dealing with a human expert. Computers have no common sense. They are only capable of... Continue Reading →

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