基于粗糙集形式化模型的资源描述框架空节点近似表示模型

A Method of Classification of Arrhythmia Based on Adaptive Learning

本体演化是消除冗余结构语义属性的有效方法.资源描述框架中空节点的映射搜索与表示能够降低语义表示模型的算法复杂度.通过优化存储版本控制程序,基于粗糙集形式化模型近似表示方法,构建立近似映射模型,优化数据结构,降低节点之间的映射错误率.

Ontology evolution is an effective way to eliminate semantic properties of redundant structures. Resource Description Framework The mapping and representation of hollow nodes can reduce the complexity of the semantic representation model. Based on the rough version formalization model approximation method, the approximate mapping model is constructed, the data structure is optimized, and the mapping error rate between nodes is reduced by optimizing the storage version control program.