本体驱动的多分辨率联邦一致性维护方法

传统的聚合解聚方法仅能解决语法层的数据聚合解聚的参数静态匹配问题,却不能解决联邦一致性的其他两个重要的方面:数据的语义匹配合理性及联邦运行中的动态一致性。为了解决以上两个问题,提出了一种本体驱动的多分辨率联邦一致性维护框架——OCM框架。该框架基于本体创建与融合技术构建联邦本体,通过邦员本体与联邦本体间的映射,解决了联邦数据匹配的合理性问题;基于聚合解聚方法,引入管理与协调联邦实体状态的邦员,通过合理设计联邦的实时对象更新及交互机制,实现了联邦实体状态的实时一致性。实验结果表明:OCM框架能有效保持联邦中多分辨率实体的状态一致,并且由于联邦本体的可重用性,对邦员的增加与退出不敏感,因此联邦的重组合也具有一定的借鉴价值。

An Ontology_ driven Consistence Maintenance Method in Multi-resolution Federation

Traditional aggregation/disaggregation method can only solve the data parameter matching,but cannot solve other two important issues on consistence maintenance of Multi-resolution federation: matching rationality of federation data and data dynamic consistence in the run of federation.To solve these two issues,an Ontology_driven Consistence Maintenance Framework-OCM-is put forward.Based on ontology construction and fuse technology,the federation ontology is constructed.With mapping between federation ontology and federate ontology,OCM can solve the data matching issues between federates.Based on aggregation/disaggregation methods,with rationally designing the mechanism of object updating and interaction,the federate that manages and harmonizes the simulated objects stating in OCM makes federation remain consistence.The result indicates that OCM can efficiently remain the consistency of multi-resolution object stating between federates,and OCM is not subtle to the addition and reduction of federate because of the reuseability of federation ontology,and it will be relatiely of benefit to the re-composability of federation.