摘要
提出一种基于模糊概念网络的信息检索模型,模型采用自学习算法完成模糊概念网络的自动构建,实现基于概念的信息检索。性能测试实验的结果表明:提出的检索模型具有较好的性能。
This paper presents a conceptual retrieval model based on fuzzy concept network. This model employs self-learning algorithm to construct the fuzzy concept network and implements concept-based information retrieval. Experimental results show that this model has better performance.
出处
《计算机工程》
CAS
CSCD
北大核心
2005年第21期146-147,150,共3页
Computer Engineering
关键词
信息检索
模糊概念网络
概念映射
相关度矩阵
Information retrieval
Fuzzy concept network
Concept mapping
Relevance matrix
