摘要
针对资源受限的物联网在信息存储、传输和智能处理方面遇到的挑战,本文提出一种新的解决方案:创建一种形式语言,用于描述以感知信息为基础的知识;定义基于感知器的语义解释;构建基于感知器的微型知识库;将感知器收集到的感知信息转换成知识,并向用户提供知识服务;由此建立具有知识服务功能的物联网。这种物联网可将各种不同类型的感知信息转换成同一种形式的知识,解决WSN中异构感知网络之间的通信问题。由于知识是数据和信息的高度浓缩和抽象,知识的表达形式使数据量的减少发生了质的飞跃,这对于解决资源受限的物联网在存储和传输方面的问题将起到极大的推动作用。
In order to address the challenges of IOT with limited resources in information storage, trans-mission and intelligent processing,this paper presents a novel solution: Creating a formal language usedto describe knowledge based on the sensing information; defining a sensor-based semantic interpretation; building micro knowledge bases in IOT; transforming sensing information into knowledge, andproviding knowledge services to users. In such a way, IOT will have the functionalities with knowledgeservices. This kind of IOT can convert a variety of different types of sensing information into a unifiedform of knowledge and solve the communication problems among heterogeneous sensor networks inWSN. Because knowledge is a form of concentration and abstraction of data and information, it has aqualitative leap in reducing data size. Those characteristics will play a significant role for solving storageand transport issues of lOT.
出处
《广西师范大学学报(自然科学版)》
CAS
北大核心
2014年第2期42-47,共6页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(61262005
61163065
61165009)
广西自然科学基金资助项目(2013GXNSFAA019345)
关键词
物联网
基于感知器的知识
智能处理
知识服务
Internet of Things
knowledge based on sensors
intelligent processing
knowledge service