路由冲突下语义特征信息优化查准算法

针对路由冲突下语义特征信息进行查准,一直存在查准率低的问题。提出一种新的语义特征信息查准算法,首先构建路由冲突下语义网的本体模型,提高语义网中数据的特征分类挖掘和检索能力;接着采用概念树三叉分割思想,实现路由冲突下的语义特征信息的分析;最后通过灰色关联度信息综合评价方法解决语义多属性决策问题,提高了路由冲突下语义特征信息查询的查准率。实验仿真结果证明,采用改进的查准算法在路由冲突下进行语义信息检索其查准率较高,语义特征提取结果准确,提高了语义搜索的准确度,应用价值较高。

Optimal Search Algorithm for Semantic Feature Information in Route Conflict

For routing of semantic features in the conflict of precision, has always been the problem of low precision. Presents a new semantic feature information precision algorithm, first build routing conflicts under the semantic web ontology model, to improve the characteristics of the semantic web data mining classification and retrieval ability; Then the idea of trigeminal segmentation concept tree, realize routing conflicts under the analysis of the semantic characteristics of the information; At last, by grey relational comprehensive evaluation method to solve the semantic information multiple attribute decision making problems, improve the semantic characteristics under the conflict of routing information query precision. Experimental simulation results show that with the improved the precision of algorithm in routing conflict under its semantic information retrieval precision is higher, the semantic feature extraction results are accurate, and enhance the accuracy of the semantic search, high application value.