1045

It is generally accepted that knowledge has a contextual component. However, even if its importance is acknowledged, this contextual component is rarely represented explicitly in available knowledge representation systems and is not used in subsequent processing of knowledge. Thus, there is a gap between what is known and what is done. Acquisition, representation, and exploitation of knowledge in context would have a major contribution in knowledge representation, knowledge acquisition, explanation, maintenance, documentation, learning, human-computer communication, and validation or verification. A computational capability to understand, represent, and reason about context will be valuable for, and of immense benefit to, many AI problems.