基于Ontology的智能信息检索  

Intelligent Information Retrieval Based on Ontology

作　　者：徐振宁[1] 张维明[1] 陈文伟[1] 

机构地区：[1]国防科技大学管理科学与工程系,长沙410073

出　　处：《计算机科学》2001年第6期21-26,44,共7页Computer Science

基　　金：国家自然科学基金;"九五"国防预研基金

摘　　要：一、前言对于普通的WWW用户,“信息过载”已经成为一个日益严重的问题。目前广泛使用的信息检索或者依赖编码过程,即对于给定的内容使用特定的观点或分类方法进行描述;或者进行全文检索,搜索包含用户指定词汇的信息源。由于编码的描述只能反映内容的一部分,单个词汇的出现更是难以反映文献的内容,所以以上方法都难以确保检索内容的精确匹配。This paper introduces the technology of Ontology which has been widely used in DAI. We propose architecture of an intelligent information retrieval system based on Ontology. The system is implemented using the distributed software Agent techniques, the multilevel approach to building models for the user and multi-user,and the relevant feedback learning approach. The system has the features of precisely querying according to semantic,and adjusting to shifting user's interests and changing source adaptively. The system generally can be used for information retrieval in Internet on special domains or by special user groups,and has high significance in theories and applications.

关 键 词：WWW 分布式人工智能 本体库 智能信息检索 

分 类 号：TP393.092[自动化与计算机技术—计算机应用技术] G354.4[自动化与计算机技术—计算机科学与技术]