期刊名称：International Journal of Combinatorial Optimization Problems and Informatics
印刷版ISSN：2007-1558
电子版ISSN：2007-1558
出版年度：2016
卷号：7
期号：2
页码：49-56
语种：English
出版社：International Journal of Combinatorial Optimization Problems and Informatics
其他摘要：Eliciting sufficient high-quality knowledge from individuals to build a robust and useful Artificial Intelligence or Intelligent System solution is a very time-consuming and expensive activity, especially in domains where the knowledge is informal, partial, incomplete, implicit, tacit and unstructured. Moreover, in order to develop a solution, a systematic way to incorporate the elicited knowledge into a specification is necessary. The goal of this thesisis to develop a strategy oriented to the transfer and transformation of knowledge with the aim of elicitingand structuring the most quantity ofdomain knowledge, either tacit or explicit; thenincorporate itinto a specification that covers the needsand expectations ofdomain specialists. The application of the strategy in real informally structured domain cases providesempirical insights about its usefulness and value.
