专家系统的建造与知识表达——^(13)C NMR推断香茶菜二萜化合物结构的专家系统

XCC EXPERT SYSTEM BUILDING AND KNOWLEDGE REPRESENTATION

XCC(Xiang Cha Cai-香茶菜)专家系统是用于推理香茶菜属二萜类化合物结构的智能软件系统。该系统已经在IBM-PS/280上实现,程序设计是用Turbo PROLOG 1.1。本文主要描述XCC专家系统的建造与知识表达。从问题定义、知识抽象、知识概念及形式化到知识表达方法都做了详细论述。

It is minutely described that the phases of XCC expert system building is mentionedin the paper. The phases include indentification, abstraction, conceptualization, formalization andknowledge representation.XCC expert system is an intelligence system for the use of inferring the structure of Rabdosia diterpenoid compounds. According to (13)~C NMR spectra of unknown compound, the expert system, after inference, may determine structure of the unknown compound with the help of heuristic method. The expert system has been true in IBM PS/280, the program is written in PROLOG V1.1 language. The expert system has four parts—a knowledge base, an acquisition module, an explanatory interface and inference engine able to conduct formalized reasoning.