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Industrial Knowledge Management
Verification and validation (V&V) techniques have always been an essential part of the knowledge engineering process, because they offer the only way to judge the success (or otherwise) of a knowledge base development project. This remains true in the context of knowledge management: V&V techniques provide ways to measure the quality of knowledge in a knowledge base, and to indicate where work needs to be done to rectify anomalous knowledge. This paper provides a critical assessment of thedoi:10.1007/978-1-4471-0351-6_6 fatcat:7jdx4rwi6fdvfmc77x4oen2fym