Ontology, Knowledge Management, Knowledge Engineering and the ACM Classification Scheme
The purpose of this paper is to test the theory of multiple perspectives being necessary for completeness in ontologies by applying it to the task of placing “knowledge management” and “knowledge engineering” within the ACM classification scheme. The thesis of this paper is that a multi-perspective analysis of the ACM classification scheme, along with a published extension for AI subjects, should demonstrate some of the principles on which the classification is based, and therefore help in deciding where knowledge management and knowledge engineering (and knowledge acquisition) should appear in the classification. Some implications for ontology building are discussed.
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