物联网多源异构数据的自动语义标注方法研究  

Study on Automatic Semantic Annotation of Multi-source Heterogeneous Data in Internet of Things

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作  者:韩黎晶 袁凌云[1] HAN Lijing;YUAN Lingyun(College of Information,YunnanNormal University,Kunming,Yunnan,China 65050)

机构地区:[1]云南师范大学信息学院,云南昆明650500

出  处:《昆明学院学报》2018年第3期70-74,共5页Journal of Kunming University

基  金:国家自然科学基金资助项目(61561055);教育部人文社会科学研究青年基金资助项目(13YJCZH233)

摘  要:针对各类物联网设备因原始感知数据缺乏明确含义,以及表现形式异构而导致的物联网信息资源之间难以实现交互协同和数据融合共享等问题,提出一种面向物联网多源异构数据的自动语义标注方法.首先建立物联网领域应用本体模型,然后在此基础上给出测量对象的语义描述框架及自动语义标注架构,同时研究实现标注的核心技术,以此增强异构数据资源之间的互操作性,并为上层的语义服务及物联网多设备联动提供支持.It's because the raw perception data coming from different Io T devices is lack of clear meaning and with different manifestations so that increases the difficulty of interaction,integration and sharing between the information resources. So an automatic semantic annotation method for multi-source heterogeneous data of Internet of Things has been put forward. The construction process of Io T domain application ontology model is expounded,then based on which,a semantic description framework of monitoring object and an automatic semantic annotation architecture are designed. At the same time,this research has conducted some thorough discussion about the core technology to achieve the automatic semantic annotation,thereby to enhance the interoperability between heterogeneous data resources and to provide support for the upper semantic service and the interconnection between multiple devices.

关 键 词:物联网 多源异构数据 语义标注 本体 

分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]

 

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