372 What are we Modeling when we Model Knowledge?

This paper examines the relationships between natural language and our attempts to codify and manage business knowledge in particular the normative statements that spawn all business decisions. I argue that such knowledge is inextricably bound to language and experience and that our conceptualizations, which ultimately constitute knowledge, are inseparable from language. Furthermore if we wish to develop a model of knowledge that can be represented computationally we need to understand the extent to which language can be mapped to its empirical content and or to sentences, which correlate with equivalent sentences. I argue that under current computational frameworks such a project is doomed due to inherent indeterminacies in terms and the concepts those terms seek to denote. I conclude thus that knowledge cannot be logically and systematically represented under our current and traditional computational frameworks 1