Computer science as empirical inquiry: symbols and search
Communications of the ACM
A knowledge-based system for the interpretation of protein x-ray crystallographic data
A knowledge-based system for the interpretation of protein x-ray crystallographic data
Human Problem Solving
Automated instructor assistant for ship damage control
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A Knowledge-Based News Server Supporting Ontology-Driven Story Enrichment and Knowledge Retrieval
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
Ontological Engineering: Foundation of the Next Generation Knowledge Processing
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Theoretical basis for a knowledge representation system
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
A knowledge-based approach to the iris segmentation problem
Image and Vision Computing
The role of fuzzy logic in the management of uncertainty in expert systems
Fuzzy Sets and Systems
International Journal of Human-Computer Studies
Technically approaching the semantic web bottleneck
International Journal of Web Engineering and Technology
Domain structure and the complexity of diagnostic problem solving
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Searching in a maze, in search of knowledge: issues in early artificial intelligence
Reasoning, Action and Interaction in AI Theories and Systems
An associative memory approach to medical decision support systems
Computer Methods and Programs in Biomedicine
The challenge of complexity for cognitive systems
Cognitive Systems Research
Crowdsourced Knowledge Acquisition: Towards Hybrid-Genre Workflows
International Journal on Semantic Web & Information Systems
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The knowledge engineer practices the art of bringing the principles and tools of AI research to bear on difficult applications problems requiring experts' knowledge for their solution. The technical issues of acquiring this knowledge, representing it, and using it appropriately to construct and explain lines-of-reasoning, are important problems in the design of knowledge-based systems. Various systems that have achieved expert level performance in scientific and medical inference illuminate the art of knowledge engineering and its parent science, Artificial Intelligence.