嵌入式路由冲突下链路分离语义检索优化模型
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摘要
在嵌入式系统设计中,需要进行语义检索任务的嵌入式调度,在路由冲突下,由于路由协议的链路分离,导致语义检索码在链路负载过度,语义调度和融合性能不好.提出一种基于链路分离协方差融合的语义检索优化模型,首先进行嵌入式路由冲突下的链路分析,建立异构的本体模型之间的语义等价映射关系,考虑了用户之间的信任路径个数,得到语义特征样本协方差,对每个文档的主题词集进行属性集归并,提高数据挖掘和语义检索能力,实现路由冲突下的链路分离协方差融合的语义检索模型改进.实验结果表明,采用该方法能有效实现对嵌入式路由冲突下的链路分离,实现链路分类协方差融合,可以提高嵌入式系统中的语义数据传输的数据吞吐率,在嵌入式系统设计和通信中具有较好的应用价值.
In the design of embedded system,it needs for semantic retrieval task scheduling,routing conflict,because the link disjoint routing protocol,resulting in semantic retrieval code in the link load of semantic integration,scheduling and performance is not good.This paper presents a semantic retrieval model covariance fusion based on link separation,firstly analyzes the routing link embedded in the conflict,the mapping relationship between ontology and semantic equivalence model of heterogeneous,followed by the key words of each document set is processed,each subject automatic attribute added to form the background concentration,improve the data mining and semantic retrieval ability,to realize the semantic link disjoint routing conflict covariance fusion retrieval model.The experimental results show that,using this method can effectively realize the separation of routing link embedded under the conflict,realizing the link of covariance fusion,semantic data transmission embedded system can improve the data throughput rate,it has good application value in the design and communication of embedded system.
In the design of embedded system,it needs for semantic retrieval task scheduling,routing conflict,because the link disjoint routing protocol,resulting in semantic retrieval code in the link load of semantic integration,scheduling and performance is not good.This paper presents a semantic retrieval model covariance fusion based on link separation,firstly analyzes the routing link embedded in the conflict,the mapping relationship between ontology and semantic equivalence model of heterogeneous,followed by the key words of each document set is processed,each subject automatic attribute added to form the background concentration,improve the data mining and semantic retrieval ability,to realize the semantic link disjoint routing conflict covariance fusion retrieval model.The experimental results show that,using this method can effectively realize the separation of routing link embedded under the conflict,realizing the link of covariance fusion,semantic data transmission embedded system can improve the data throughput rate,it has good application value in the design and communication of embedded system.
引文
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[2]王昌晶,薛锦云,左正康.SRLtoRadl生成系统及其范畴论语义[J].电子学报,2014,42(1):137-142.
[3]邹亮,徐德智,郭维.基于参考点的大规模本体扩散映射算法[J].小型微型计算机系统,2013,34(7):1507-1513.
[4]何永强,谷春英.基于子任务区域分片下的分布式空间查询处理与并行调度方法[J].科技通报,2014,30(1):110-116.
[5]Zhang Yue,Zheng Dong,Zhang Yinghui.Access control mechanism with dynamic authorization and fileevaluation[J].Journal of Computer Applications,2015,35(4):964-967.
[6]尹星,吴国新,董永强,等.基于扩展邻居发现协议的嵌套移动网络路由优化方案[J].通信学报,2015,(4):2015179.
[7]左万利,韩佳育,刘露,等.基于人工免疫算法的增量式用户兴趣挖掘[J].计算机科学,2015,42(5):34-41.
[8]闫宏飞,旭东,单栋栋,等.基于指令级并行的倒排索引压缩算法[J].计算机研究与发展,2015,52(5):995-1004.
[9]辛日华.用于词义排歧的语义剪枝方法研究[J].控制工程,2013,20(5):887-890.