Huang Yan, Yu Hong-Feng, Geng Wei-Dong, Pan Yun-He
College of Computer Science and Engineering, Zhejiang University, Hangzhou 310027, China.
J Zhejiang Univ Sci. 2003 Mar-Apr;4(2):152-61. doi: 10.1631/jzus.2003.0152.
This paper presents a two-agent framework to build a natural language query interface for IC information system, focusing more on scope queries in a single English sentence. The first agent, parsing agent, syntactically processes and semantically interprets natural language sentence to construct a fuzzy structured query language (SQL) statement. The second agent, defuzzifying agent, defuzzifies the imprecise part of the fuzzy SQL statement into its equivalent executable precise SQL statement based on fuzzy rules. The first agent can also actively ask the user some necessary questions when it manages to disambiguate the vague retrieval requirements. The adaptive defuzzification approach employed in the defuzzifying agent is discussed in detail. A prototype interface has been implemented to demonstrate the effectiveness.
本文提出了一个双智能体框架,用于为集成电路信息系统构建自然语言查询接口,更侧重于单个英语句子中的范围查询。第一个智能体是解析智能体,它对自然语言句子进行句法处理和语义解释,以构建模糊结构化查询语言(SQL)语句。第二个智能体是去模糊化智能体,它根据模糊规则将模糊SQL语句的不精确部分去模糊化为其等效的可执行精确SQL语句。当解析智能体成功消除模糊的检索需求时,它还可以主动向用户询问一些必要的问题。详细讨论了去模糊化智能体中采用的自适应去模糊化方法。已实现了一个原型接口来证明其有效性。