An Extended Semantic Framework for Theme-Interview
Shi Hai-hu · Zhongwen xinxi xuebao · 2005
As the development of artificial intelligence, t he research on intellectualizing technology of man-machine interview has been becoming the current hot one, and the knowledge representation is one of the mos t difficult problems in the man-machine interview domain. Among all types of kn owledge representation,the framework representation has been widely used for its features of applicability, summarizing, structuring and reasoning. Comparing wi th past framework representation, we presented an extended semantic framework re presentation method, which can deal with knowledge treatment, common-sense reas oning and sentence building on the special domain of the basketball-theme inter view research. This type of knowledge representation method can satisfy with the requirement of restricted man-machine interview system.