Knowledge Engineering Principles
Since the mid-1980s, knowledge engineers have developed a number of principles, methods and tools to improve the knowledge acquisition and ordering. Some of the key principles are:
- There are different:
- types of knowledge each requiring its own approach and technique.
- types of experts and expertise, such that methods should be chosen appropriately.
- ways of representing knowledge, which can aid the acquisition, validation and re-use of knowledge.
- ways of using knowledge, so that the acquisition process can be guided by the project aims (goal-oriented).
- Structured methods increase the efficiency of the acquisition process.
- Knowledge Engineering is the process of eliciting Knowledge for any purpose be it Expert system or AI development
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“Language is a process of free creation; its laws and principles are fixed, but the manner in which the principles of generation are used is free and infinitely varied. Even the interpretation and use of words involves a process of free creation.”
—Noam Chomsky (b. 1928)