A philosophical basis for knowledge acquisition
Knowledge Acquisition
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition in the Semantic Web Era
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Epistemological problems of artificial intelligence
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
A Knowledge Acquisition Method for Improving Data Quality in Services Engagements
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Similarity function recommender service using incremental user knowledge acquisition
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Improving open information extraction for informal web documents with ripple-down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Situated cognition and knowledge acquisition research
International Journal of Human-Computer Studies
Improving the performance of a named entity recognition system with knowledge acquisition
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Run-time validation of knowledge-based systems
Proceedings of the seventh international conference on Knowledge capture
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Evaluation has remained a major challenge for knowledge acquisition and little data is available on how experts actually use knowledge acquisition technology. A number of companies offer Ripple-Down Rules to enable on-going knowledge acquisition and maintenance while a system is in use. One of these companies, Pacific Knowledge Systems , has logged user activity over a number of years. Data from these logs demonstrate that domain experts continue to add knowledge to a knowledge base over years. The logs also demonstrate that new knowledge can be added very rapidly regardless of knowledge base size or age. We assume that the on-going knowledge acquisition observed was driven by the need to make changes and encouraged and allowed by the ease of the knowledge acquisition technology used. The question arises of whether experts in other domains would also chose to continue to add knowledge to their knowledge bases if this was supported.