Abstract: Upgrading a search engine to a Web-based question-answering system is one of basic target concerning certain aspects of Web intelligence (WI). The question-answering system is more important for Web-based question-answering research. This paper specifies precise natural language process based on fuzzy description logic as fuzzy PNL question-answering system. The system uses fuzzy description logic as computational part in prototype language rules. It makes use of reasoning algorithms to study knowledge symbols, and gives an example of query film to show the system workflow.

Key words: Fuzzy description logic, Precise natural language(PNL), Question-answering system

摘要： 将现有网络搜索引擎过渡到网络问答系统是WI的基本目标之一，模糊问答系统是网络问答系统研究的重要问题。基于模糊描述逻辑，该文特化了PNL过程，提出了PNL式模糊网络问答系统。该系统将模糊描述逻辑规则作为PNL 推理过程中用到的原型语言规则中的计算部分，推理出原型语言规则中的知识符号，并以一个具体的问答实例，介绍了PNL式问答系统的工作流程。

关键词: 模糊描述逻辑, 精确的自然语言, 问答系统

CLC Number: 

• TP312