基于多知识库和局部反馈的查询扩展研究

Research on Query Expansion Based on Multi-knowledge Base and Local Feedback

查询扩展是优化信息查询的一种重要手段。提出了一种基于多知识库和局部反馈的查询扩展方法,该方法首先融合了领域本体与同义词词林两种不同类型的知识库对查询关键词进行扩展,然后再用局部反馈方法对扩展结果进行筛选。实验表明,该方法可以有效提高查询性能。

Query expansion is an important means to optimize information inquiries. This paper presents a method of query expansion based on multi-Knowledge Base and local feedback. Two different types of Knowledge Base, domain ontology and Tongyici Cilin, are combined to expand keyword query in the method used, and then the local feedback algorithm is used to filter the expansion words. Experi- mental results show that the query performance of the method is improved effectively compared to other methods.