Semantic Web Based Reasoning Model for Controlled Natural Language System
基于语义Web的受控自然语言系统推理模型

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. hhe 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.