Research on Bayesian Network Retrieval Model Based on Query Expansion

被引：0

作者：

Zhao, Shuang ^{[1
]}

Wu, Hong-Xia ^{[1
]}

Lin, Yong-Min ^{[1
]}

机构：

[1] Hebei United Univ, Sch Management, Tangshan 063000, Hebei, Peoples R China

来源：

EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE | 2012年 / 315卷

关键词：

query expansion; domain ontology; Bayesian network; INFORMATION-RETRIEVAL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For the problem of vagueness and ambiguity of the user query words in natural language which leads to low efficiency of retrieval, firstly this paper proposes the query expansion method based on domain ontology, secondly presents the Bayesian network retrieval model based on query expansion, and gives the inference process of the model. Experiments show that the Bayesian network retrieval model based on query expansion can effectively improve the retrieval efficiency.

引用

页码：291 / 295

页数：5

共 9 条

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