计算机应用 ›› 2015, Vol. 35 ›› Issue (9): 2440-2446.DOI: 10.11772/j.issn.1001-9081.2015.09.2440

• 网络与通讯 • 上一篇    下一篇

语义物联网中链接传感器数据发布系统

爨林娜, 史一民, 李冠宇, 吴学华   

  1. 大连海事大学 信息科学技术学院, 辽宁 大连 116026
  • 收稿日期:2015-04-07 修回日期:2015-06-01 出版日期:2015-09-10 发布日期:2015-09-17
  • 通讯作者: 史一民(1966-),女,辽宁大连人,副教授,硕士,CCF会员,主要研究方向:智能信息处理,shiyimin1966@126.com
  • 作者简介:爨林娜(1990-),女,河南洛阳人,硕士研究生,CCF会员,主要研究方向:智能信息处理;李冠宇(1963-),男,辽宁大连人,教授,博士,CCF会员,主要研究方向:智能信息处理;吴学华(1990-),女,山东烟台人,硕士研究生,CCF会员,主要研究方向:智能信息处理。
  • 基金资助:
    国家自然科学基金资助项目(61371090);中央高校基本科研业务费专项资金资助项目(3132014325)。

Linked sensor data publishing system in semantic Web of things

CUAN Linna, SHI Yimin, LI Guanyu, WU Xuehua   

  1. College of Information Science and Technology, Dalian Maritime University, Dalian Liaoning 116026, China
  • Received:2015-04-07 Revised:2015-06-01 Online:2015-09-10 Published:2015-09-17

摘要: 针对传感器网络数据的表示和传输标准不统一以及单一数据资源无法满足应用程序的需求问题,提出将传感器网络数据发布为链接传感器数据的方法。在分析已有链接传感器数据发布方法的基础上,首先利用本体标注技术为传感器网络数据添加语义信息,然后提出基于继承关系概念组集的关联数据查询处理方法以找到相关Web数据集(RWD)和基于启发式属性的图相似性比较方法实现传感器网络数据与相关Web数据的链接,最后构建了一种链接传感器数据发布系统(LSDPS)。通过与其他经典链接传感器数据发布系统比较,表明本系统将建立与相关数据的链接的准确率提高了9%。将传感器网络数据发布为链接传感器数据,使得应用程序不仅可以理解和利用传感器网络数据,而且可以根据链接传感器数据集间的资源描述框架(RDF)链接获得更多相关资源。

关键词: 语义物联网, 关联数据, 传感器网络数据, 资源描述框架链接, 链接传感器数据

Abstract: To solve the problems that there are differences in presentation and transmission of sensor network data and the application requirement cannot be satisfied by single data source, a method of publishing sensor network data as linked sensor data was proposed. Based on the analysis of linked sensor data publishing methods, firstly, the technology of ontology annotation was used to add semantic information to sensor network data; secondly, a method that queried linked data based on the set of concept group with inheritance relations to find Related Web Datasets (RWD), and a method that compared the similarity of graph based on heuristic property to build links between sensor network data and related datasets on Web were put forward; at last, a Linked Sensor Data Publishing System (LSDPS) was built. Comparing LSDPS with other classical linked sensor data publishing systems, the accuracy of building Resource Description Framework (RDF) links among datasets was raised about 9%. By publishing sensor network data as linked sensor data, the applications can not only understand and take advantage of sensor network data, but also obtain related resource according to RDF links among linked sensor datasets.

Key words: semantic Web of things, linked data, sensor network data, Resource Description Framework (RDF) link, linked sensor data

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