摘要
提出一种基于语义模型关联规则的局域网数据检索方法.首先基于概念树描述语义模型并建立FP-树频集算法,通过概念映射将数据源与语义模型进行语义关联,在此基础上,进行噪声过滤并列出主题关键词,从而提高局域网的数据检索速度和一次查询效率.
The data retrieval method in local area network based on association rules of sematic model is presented.Firstly,the semantic model is described and FP-tree algorithm is established based on the concept tree,and the data source and the semantic model are semantically associated by the concept mapping.Then on this basis,the noise filter is performed and the
出处
《兰州交通大学学报》
CAS
2011年第1期13-17,共5页
Journal of Lanzhou Jiaotong University
基金
兰州市企业技术攻关项目(2009-1-4)
关键词
语义模型
FP-树频集算法
数据检索
关联规则
are presented
thus to improve the retrieval speed and the query efficiency in local area network.Key words：semantic model
FP-tree algorithm
data retrieval
association rules
