New Approaches to Knowledge Acquisition
It is well recognized that knowledge acquisition is the critical bottleneck of knowledge engineering. This book presents three major approaches of current research in this field, namely the psychological approach, the artificial intelligence approach and the software engineering approach. Special attention is paid to the most recent advances in knowledge acquisition research, especially those made by Chinese computer scientists. A special chapter is devoted to its applications in other fields, e.g. language analysis, software engineering, computer-aided instruction, etc., which were done in China.
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acquiring knowledge application domain approach arc leading artificial intelligence attributes basic belong BKDL CALAS called Chinese classification clause CONBES concept conceptual graph conceptual schema construct contexts decision tree defined delete denote diagnosis domain expert domain knowledge End of algorithm End of definition entropy examplars example expert system explanation expr frame function goal goto GPMIL grammar hierarchy hypothesis ID3 algorithm implemented inference engine input interface KADS KBRS keywords knowledge acquisition knowledge analysis knowledge base knowledge elements knowledge engineer knowledge entities knowledge model machine learning matching means natural language ontology parse partition possible problem solving procedure PROTEGE protocol questions rec(z relations repertory grid representation rules schema semantic network semantic primitives sentence sequence slots solution specification step structure symptom task techniques tool transformation variables word