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基于语义模型关联规则的局域网数据检索
引用本文:景亮,张忠林,冯嘉.基于语义模型关联规则的局域网数据检索[J].兰州铁道学院学报,2011,30(1).
作者姓名:景亮  张忠林  冯嘉
作者单位:兰州交通大学,电子与信息工程学院,甘肃,兰州,730070
基金项目:兰州市企业技术攻关项目
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.

关 键 词:语义模型  FP-树频集算法  数据检索  关联规则

Data Retrieval in Local Area Network Based on Association Rules of Sematic Model
JING Liang,ZHANG Zhong-lin,FENG Jia.Data Retrieval in Local Area Network Based on Association Rules of Sematic Model[J].Journal of Lanzhou Railway University,2011,30(1).
Authors:JING Liang  ZHANG Zhong-lin  FENG Jia
Institution:JING Liang,ZHANG Zhong-lin,FENG Jia(School of Electronic and Information Engineering.Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract: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
Keywords: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  
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