广西师范大学学报(自然科学版) ›› 2014, Vol. 32 ›› Issue (2): 42-47.

• • 上一篇    下一篇

具有知识服务功能的物联网

廖元秀, 周生明, 覃少华   

  1. 广西师范大学计算机科学与信息工程学院,广西桂林 541004
  • 收稿日期:2013-11-01 出版日期:2014-06-25 发布日期:2018-09-25
  • 通讯作者: 周生明( 1956—), 男, 广西象州人, 广西师范大学教授。E-mail: smzhou@gxnu.edu.cn
  • 基金资助:
    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(2013GXNSFA-A019345)

The Internet of Things with Knowledge Service Functionality

LIAO Yuan-xiu, ZHOU Sheng-ming, QIN Shao-hua   

  1. College of Computer Science and Information Technology, Guangxi Normal University, Guilin Guangxi 541004, China
  • Received:2013-11-01 Online:2014-06-25 Published:2018-09-25

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。

关键词: 物联网, 基于感知器的知识, 智能处理, 知识服务

Abstract: In order to address the challenges of IOT with limited resources in information storage, transmission and intelligent processing,this paper presents a novel solution: Creating a formal language used to describe knowledge based on the sensing information; defining a sensor-based semantic interpretation; building micro knowledge bases in IOT; transforming sensing information into knowledge, and providing knowledge services to users. In such a way, IOT will have the functionalities with knowledge services. This kind of IOT can convert a variety of different types of sensing information into a unified form of knowledge and solve the communication problems among heterogeneous sensor networks in WSN. Because knowledge is a form of concentration and abstraction of data and information, it has a qualitative leap in reducing data size. Those characteristics will play a significant role for solving storage and transport issues of IOT.

Key words: Internet of Things, knowledge based on sensors, intelligent processing, knowledge service

中图分类号: 

  • TP393
[1] SARMA S, BROCK D L, ASHTON K. MIT Auto ID WH-001: The Networked Physical World[R] . Massachusetts: MIT Press, 2000.
[2] International Telecommunication Union (ITU). ITU Internet Reports 2005: The Internet of Things[R]. Geneva: ITU, 2005.
[3] STAVROPOULOS T G, VRAKAS D, VLAHAVAS I. A survey of service composition in ambient intelligence environments[J]. Artificial Intelligence Review, 2013, 40(3): 247-270.
[4] ATZORI L, IERA A, MORABITO G. The Internet of Things: A survey[J]. Computer Networks, 2010, 54(15): 2787-2805.
[5] 胡永利,孙艳丰,尹宝才. 物联网信息感知与交互技术[J]. 计算机学报,2012, 35(6): 1147-1163.
[6] 宋欣,王翠荣. 基于线性回归的无线传感器网络分布式数据采集优化策略[J]. 计算机学报,2012, 35(3): 568-580.
[7] DING Zhi-ming, XU Jia-jie, YANG Qi. SeaCloudDM: a database cluster framework for managing and querying massive heterogeneous sensor sampling data[J]. The Journal of Supercomputing, 2013, 66(3): 1260-1284.
[8] 宁焕生, 徐群玉.全球物联网发展及中国物联网建设若干思考[J]. 电子学报,2011, 38(11): 2590-2599.
[9] CHEN Yi-nong, HU Hua-liang. Internet of intelligent things and robot as a service[J]. Simulation Modelling Practice and Theory, 2013, 34: 159-171.
[10] GUO Bin, ZHANG Da-qing, YU Zhi-wen, et al. From the internet of things to embedded intelligence[J]. World Wide Web, 2013, 16(4): 399-420.
[11] 何清. 物联网与数据挖掘云服务[J]. 智能系统学报, 2012, 7(3): 1-5.
[12] EGUCHI A, NGUYEN H, THOMPSON C W. Everything is alive: towards the future wisdom Web of things[J]. World Wide Web, 2013, 16(4): 357-378.
[13] HUTH M, RYAN M. Logic in computer science: modeling and reasoning about system[M]. Cambridge: Cambridge University Press, 2004.
[1] 杨俊瑶, 蒙祖强. 基于时间依赖的物联网络模型的路径规划[J]. 广西师范大学学报(自然科学版), 2013, 31(3): 152-156.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 广西师范大学学报(自然科学版)编辑部
地址:广西桂林市三里店育才路15号 邮编:541004
电话:0773-5857325 E-mail: gxsdzkb@mailbox.gxnu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发