基于语义Web的受控自然语言系统推理模型

摘要

Proposed a semantic Web based reasoning model for controlled natural language system which can be used by experts to describe business logic in controlled natural language. The framework of the reasoning model includes two parts,one is language processing part and the other is reasoning part. Firstly, the controlled language sentences were partially made into discourse representation structure through ontology lexicon model based on the WordNet and the controlled natural language interpreter based on ontology lexicon model. Then discourse representation structure was transformed into semantic Web OWL and SWRL through the reasoning part. Finally, semantic Web OWL and SWRL was mapped into Jess facts and rules through template tools, and then reasoning was conducted on controlled natural language according to a predefined axiom of semantic Web. Experiment proves that this mode has greatly enhanced the efficiency of knowledge representation modeling, can basically meet the simple reasoning tasks, and has practical value.%虽然相关研究组织提供了语义Web的一些简化工具,但是对不具备相关背景知识的领域专家来说,语义Web的可用性较低.提出了基于语义Web的受控自然语言系统推理模型,以解决这个问题.首先给出受控自然语言系统推理模型框架;然后分析受控自然语言的语言处理部分,提出基于WordNet的受控自然语言系统的本体词库模型和基于本体词库的受控自然语言解释器,把受控自然语言转换成中间表达语言篇章表述结构;最后通过推理部分把篇章表述结构转换成语义Web的本体和规则,通过模板工具映射成Jess的事实和规则,根据预定义的语义Web的公理和定理对受控自然语言进行推理.试验证明此模型大大提高了知识表示建模的效率,也基本满足简单推理任务,具有实用价值.