Robust classification systems for imprecise environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An XML-Based Manipulation and Query Language for Rule-Based Information
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Knowledge reuse through electronic repositories: A study in the context of customer service support
Information and Management
Design for taxonomy and technology architecture for knowledge management solution implementation
International Journal of Business Information Systems
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Taxonomies play an increasingly role in knowledge management, providing the basis on which to find and communicate knowledge, information and metrics. However, knowledge continues to evolve over time. As a result, taxonomies also need to continue to evolve. Two different evolved versions of a taxonomy for best practices, each based on the same original taxonomy were analyzed. This research investigated empirical approaches to trace the changes in the original taxonomy. In so doing, an approach using empirical findings to monitoring and anticipating taxonomy change is initiated. There were a number of findings, including a tendency to evolve to greater complexity.