基于领域本体的贝叶斯网络检索模型研究

摘要

This paper presents a domain ontology-based Bayesian network retrieval model for the problem which can not achieve semantic understanding of user' s queries and low efficiency in retrieval by traditional information retrieval methods. First, uses the user's queries to get the semantic expansion through domain ontology; second, the expanded queries as evidence are spreaded in the Bayesian network retrieval model and get query results. It is shown that the proposed Bayesian network retrieval model can improve the retrieval performance through the experiments.%针对传统的信息检索方法无法实现用户查询的语义理解、检索效率低等问题,本文提出基于领域本体进行查询扩展的贝叶斯网络检索模型.该模型首先将用户查询通过领域本体进行语义扩展,然后将扩展后的查询作为证据在贝叶斯网络检索模型中进行传播,进而得到查询结果,实验表明本文提出的贝叶斯网络检索模型能提高检索效率.