摘要
提出一种基于差异化融合的语义信息检索算法,并实现模型设计和仿真.构建语义本体模型,提取关联维差异化特征,进行特征融合,采用自顶向下和分治的方法构建差异化语义信息特征的融合模型,求得融合后的差异化语义信息特征信息增益,在语义信息检索本体模型特征空间中,计算语义信息特征,将不同文本分量元素进行初始化倾向性分类处理,基于集中度、分散度和频度构建特征空间,进行信息抽取,对分层差异化特征进行融合处理,实现语义信息检索算法改进.
A semantic information retrieval algorithm is proposed based on differentiation fusion,the model design and simulation are realized.The semantic ontology model is constructed,the correlation dimension difference characteristic is extracted,fusion model difference semantic information features take top-down method,the difference of semantic information is obtained,semantic information retrieval ontology model is obtained in the feature space,the semantic feature of information is computed,different text component elements of classification processing is fused,the stratified differentiation characteristics of fusion,achieve improved semantic information retrieval algorithm.
出处
《微电子学与计算机》
CSCD
北大核心
2015年第1期146-149,155,共5页
Microelectronics & Computer
关键词
语义
信息检索
数据库
特征提取
semantic
information retrieval
database
feature extraction
