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出 处:《高技术通讯》2015年第7期694-702,共9页Chinese High Technology Letters
基 金:国家自然科学基金(71273188)资助项目
摘 要:考虑到智能交通系统(ITS)建设的需要,研究了交通异构数据集成的问题,重点研究了系统异构与语义异构的交通异构数据集成。在分析基于数据维、服务维、流程维的交通异构数据集成模式的基础上,引入本体与云服务技术,提出了以服务封装、语义检索、流程驱动、服务组合、面向用户为导向的交通异构数据集成方法。该方法运用云服务打破了异构数据的系统壁垒,引入本体解决了异构数据的语义检索问题。为了验证该集成方法的有效性,构建了大城市交通异构数据云服务系统,该系统的示范为目前交通领域异构数据集成问题提供了解决方案,为我国智能交通系统建设提供了借鉴与导向。The integration of traffic heterogeneous data, especially under the circumstances of system heterogeneity and semantic heterogeneity, was studied in consideration of the needs of the construction of an intelligent transportation system (ITS). Based on the analysis of the traffic heterogeneous data integration mode considering data dimension, service dimension, process dimension, a new method for integration of traffic heterogeneous data with the directions of service package, semantic search, process drive, service composition and serving users was proposed by adopting the notology and cloud service technology. The method breaks the system barrier of heterogeneous data by using cloud service, and solves the semantic heterogeneity of heterogeneous data by introducing the ontology. A large city traffic heterogeneous data cloud service system was built to verify the effectiveness of the integration method. The result gives systematic solutions to the heterogeneous data integration problems in the traffic field at present, and provides reference and guidance for the construction of ITS in China.
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