Deriving knowledge representation guidelines by analyzing knowledge engineer behavior
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Knowledge engineering research has focused on proposing knowledge acquisition techniques, developing and evaluating knowledge representation schemes and engineering tools, and testing and debugging knowledge-based systems. Few formal studies have been conducted on understanding the behaviors and roles of knowledge engineers. Applying the theory of mental models, this paper describes a think aloud verbal protocol study to determine an empirical basis for understanding: (1) how knowledge engineers extract domain knowledge from textual sources; and (2) the cognitive mechanisms by which they engage various knowledge representation schemes to represent that knowledge acquired. The results suggest that knowledge representation is not simply a translation of acquired knowledge to a knowledge representation. Instead, it is an iterative process of selective querying of acquired knowledge, and continuous refinement of a model leveraging, not only on acquired knowledge from domain experts, but also from the knowledge engineer. From the findings of empirical studies, a set of guidelines is derived to support the training and development of better knowledge representation schemes, representation processes, and knowledge engineering tools.
论文关键词:Knowledge engineering,Knowledge representation,Problem behavior graph,Protocol analysis,Theory of mental models
论文评审过程:Received 7 July 2011, Revised 6 April 2012, Accepted 21 May 2012, Available online 28 May 2012.
论文官网地址:https://doi.org/10.1016/j.dss.2012.05.038