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数据属性在物联网感知数据物理意义表达和智能化处理方面起着非常重要的作用,可以有效提高数据的使用价值,是实现异构数据共享和融合、异构资源交互和协同的重要基础.然而,随着物联网领域技术的发展,当前数据属性的描述都是基于具体应用而定制化设计的,数据属性的结构化较强,数据很难被跨域理解和处理.针对这一问题,本文提出一种基于语义网技术的物联网数据属性标注方法.通过层次本体架构对数据属性进行语义化的描述,将数据属性从关系型数据库中抽象出来,使得数据属性独立于具体应用而存在;在数据访问的过程中,根据具体应用的需求有针对性地对数据进行属性的语义化标注,并通过推理技术实现数据属性的扩展.这种对数据的语义化标注方法有效实现了对数据属性的统一化描述和更为灵活数据模式的构建,提高了数据物理意义的表达能力和数据的使用价值,促进了计算机对数据更深入的理解和更智能化的处理,为物联网领域异构数据的融合共享和异构资源的交互协同提供了有力的技术支撑.
Data attributes play an important role in the physical meaning expression and intelligent processing of IoT-aware data, and can effectively improve the value of data, which is an important basis for realizing heterogeneous data sharing and integration, heterogeneous resource interaction and coordination. However, , With the development of technology in the field of Internet of Things, the description of current data attributes is customized based on specific applications, and the data attributes are highly structured and difficult to understand and process across domains. In response to this problem, A semantic network based method for attribute tagging of Internet of Things (IOT) attributes is described by semantic description of data attributes through a hierarchical ontology architecture, abstracting data attributes from the relational database so that the data attributes exist independently of the specific application. In the process of visiting, the semantic annotation of data is targeted according to the needs of specific applications, and the data attributes are extended through reasoning technology.This semantic annotation method of data effectively realizes the unification of data attributes Description and more flexible data model construction, improve the physical meaning of the data expression Use value data, and promote a more intelligent computer for data processing and a deeper understanding for the field of interactive things heterogeneous data sharing and integration of heterogeneous resources work together to provide a strong technical support.