Artificial Intelligence
Validation in a knowledge support system: construing and consistency with multiple experts
International Journal of Man-Machine Studies
A philosophical basis for knowledge acquisition
Knowledge Acquisition
Brahms: simulating practice for work systems design
International Journal of Human-Computer Studies
Towards situated knowledge acquisition
International Journal of Human-Computer Studies
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Development and Verification of Rule Based Systems -- A Survey of Developers
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
Two decades of ripple down rules research
The Knowledge Engineering Review
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
A Knowledge Acquisition Method for Improving Data Quality in Services Engagements
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Technically approaching the semantic web bottleneck
International Journal of Web Engineering and Technology
Experience with long-term knowledge acquisition
Proceedings of the sixth international conference on Knowledge capture
Let's agree to disagree: on the evaluation of vocabulary alignment
Proceedings of the sixth international conference on Knowledge capture
Data Augmentation as a Service for Single View Creation
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Knowledge elicitation plug-in for protégé: card sorting and laddering
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
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
Knowledge acquisition: Past, present and future
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
The knowledge acquisition workshops: A remarkable convergence of ideas
International Journal of Human-Computer Studies
Run-time validation of knowledge-based systems
Proceedings of the seventh international conference on Knowledge capture
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In the early years of knowledge acquisition research there was considerable discussion about the possibility of obtaining knowledge from experts, based on the ideas of situated cognition. The central idea from situated cognition was that knowledge is only ever created in a context and so cannot be used reliably out of context. These ideas seem to have had little impact on most of the knowledge acquisition research that followed, probably because they seemed to be too negative about the possibilities for knowledge-based systems. This paper suggests that situated cognition can be reinterpreted as making the positive suggestion that if people distinguish between different conclusions in different contexts, they do so because they can identify features that distinguish the contexts. This type of case or context differentiation could be readily integrated with a range of knowledge acquisition frameworks, and experience with Ripple-Down Rules suggests that it provides a very simple way for domain experts and others to easily provide a large amount of knowledge for a system.