Communications of the ACM
Measuring and Managing Knowledge
Measuring and Managing Knowledge
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Features to consider in a data warehousing system
Communications of the ACM - Blueprint for the future of high-performance networking
A Framework for a Clinical Reasoning Knowledge Warehouse
IDEAS-DH '04 Proceedings of the IDEAS Workshop on Medical Information Systems: The Digital Hospital
Synergy between data warehousing and knowledge management: three industries reviewed
International Journal of Information Technology and Management
Revisiting knowledge warehousing: theoretical foundations
International Journal of Business Information Systems
Revisiting knowledge warehousing: theoretical foundations
International Journal of Business Information Systems
Managing knowledge in a process industry: some experiences and a framework
International Journal of Business Information Systems
Development of temporal confirmation model for knowledge management solution implementation
International Journal of Business Information Systems
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Ever since the late 1990s, different research communities have used the term 'knowledge warehousing' to refer to several types of IT-based tools. An extensive review of the literature on this topic revealed that existing approaches to knowledge warehousing may be classified into three completely different categories. None of the studies reviewed has been able to provide a compelling justification for their suitability. Given such lack of clarity, it seems that we are just experiencing a 'syntactic upgrade' of the concept of data warehousing into a new, more fashionable term. Furthermore, it remains unclear whether the human nature of knowledge would even allow such a resource to be warehoused. On the basis of advantages and limitations of existing notions of knowledge warehousing, this paper aims to provide tools required to unify existing disparate views of knowledge warehousing by focusing on aims of approaches rather than terminology.