多层的贝叶斯网络检索模型  

Multi-layered Bayesian network model for information retrieval

作　　者：白彦霞[1] 云彩霞[1] 李珊[1] 张秋菊[1] 杨鹏[1] 

机构地区：[1]北京化工大学北方学院,河北廊坊065201

出　　处：《计算机工程与应用》2009年第16期165-168,共4页Computer Engineering and Applications

摘　　要：利用术语相似度将同义词间的相似程度数量化,以此量化关系对用于信息检索的简单贝叶斯网络进行若干改进,构造一个四层贝叶斯网络检索模型。给出新模型的拓扑结构、各层节点详尽的概率估计以及文档检索与推理过程。最后,对新模型进行评估,结果表明该模型可以有效地提高检索性能,在一定程度上实现基于语义的信息检索,这正是目前信息检索发展的必然趋势。To quantify the degree of similarity between synonyms by term similarity accurately.Combining this quantification,the simple Bayesian network for information retrieval is improved,a four-layered Bayesian network retrieval model based on the quantified term relationships is proposed.The topology of the new model,probability estimation of all nodes and the whole inference process are described.Experimental results show that the new model in which term similarity is used to encode term relationships behaves better than others,realizing semantic retrieval to some extent,which is the inevitable tendency of information retrieval.

关 键 词：贝叶斯网络 术语相似度 信息检索 同义词 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]