摘要
搜索引擎传统的关键词匹配检索模式存在很多问题,概念检索是解决这些问题的关键技术之一。该文简要介绍了概念检索的主要内容,针对中文搜索引擎,探索出了一种基于概念语义网络知识库的概念检索模型。在此基础上,针对计算机这一特定领域,创建了一个含有500多个概念节点,包括概念层次关系和近300种概念相关关系的语义网络,初步实现了计算机领域文档的概念检索。实验结果表明,该模型对于提高中文搜索引擎的智能水平是非常有效的。
There are many problems in traditional search engines because of the key word matching based retrieval mode. Concept-based retrieval is thought of as one of the new technologies to improve their function.This paper introduces its major content and finds a concept-based retrieval model for Chinese search engine,using concept network as its knowledge base.In the specific domain of computer,A concept network that including over 500 concept node,hierarchical trees and almost 300 kinds of concept relations has been constructed.It implements a search engine based on this network,too. Experiment results have shown that this model is very helpful for improvement of Chinese seareh engine's intelligence.
出处
《计算机工程与应用》
CSCD
北大核心
2000年第6期1-3,11,共4页
Computer Engineering and Applications
基金
国家863计划资助!863-306-ZZ01-99-1