Profile Acquisition from Text Based on an Intermediate Semantic Markup Language
Hao Tian · 2005
Domain knowledge acquisition is one of key problems in artifical intelligence. This paper discusses how to acquiring knowledge from brief introduction of ancient people. Natural language techniques can't support auto-acqui- sition of domain knowledge perfectly, human-machine interaction or semi-auto-acquisition becomes a moderate method. Based on the summary of features of human knowledge description, this paper puts forward an intermediate semantic markup language, which sets up a bridge between natural language and expression language of object knowl- edge. We also introduce how to use this method to acquire religious knowledge of ancient people.