基于本体的智能答疑系统的研究与实现  

Research and Implementation of the Intelligent Answer Question System Based on Ontology

作　　者：张巍[1,2] 陈俊杰[2] 

机构地区：[1]山西职工医学院信息中心,太原030012 [2]太原理工大学计算机科学与技术学院,太原030024

出　　处：《电脑开发与应用》2011年第10期4-6,共3页Computer Development & Applications

基　　金：山西省科技攻关基金(20110313019);山西省国际科技合作计划基金资助项目(2009081022);山西省成人教育协会"十一五"成人教育科研规划课题第二批立项课题(2010-07)

摘　　要：答疑系统是现代远程教育不可缺少的一个组成部分。针对目前答疑系统在知识共享和问题求解精确性方面的不足,提出了一种基于本体的智能答疑系统模型。该模型对于学生输入的问句,利用浅层语义分析技术,首先生成问句向量,再利用SPARQL查询语言,在本体库中查找答案。分析与研究了该系统所涉及的关键技术,以计算机应用基础课程为例,构建课程知识本体,并在答案匹配模式方面进行了尝试,提高了答疑系统的准确率。The question answer system is an indispensable part of the modern Distant Education.This paper proposed an intelligent question answer system based on ontology to improve performance of knowledge share and answer accuracy in current intelligent question answering system.For the student＇s input question,the system used shallow semantic parsing to generate the question vector,then utilize SPARQL query language to search the answer in the ontology.The paper analyzed and researched the key technologies which the system involved.Taking a course in basics of computer application for an example,the authors constructed the course knowledge ontology.Attempts on answer pattern matching were conducted and the accuracy of the question answer system was increased.

关 键 词：智能答疑 问句处理 浅层语义分析 本体 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置] TP391[自动化与计算机技术—控制科学与工程]