地球信息科学学报 ›› 2012, Vol. 14 ›› Issue (6): 673-680.doi: 10.3724/SP.J.1047.2012.00673

• 本期要文(可全文下载) •    下一篇

对地观测语义传感网的进展与挑战

陈能成, 王晓蕾, 王超   

  1. 武汉大学 测绘遥感信息工程国家重点实验室, 武汉 430079
  • 收稿日期:2012-11-01 修回日期:2012-12-02 出版日期:2012-12-25 发布日期:2012-12-25
  • 通讯作者: 王晓蕾,女,博士研究生,研究方向为语义传感网。E-mail:xiaolei8788@whu.edu.cn E-mail:xiaolei8788@whu.edu.cn
  • 作者简介:陈能成(1974-),男,福建德化人,美国乔治梅森大学博士后,教授、博士生导师。研究方向为网络地理信息系统与服务、传感网、模型网和智慧城市,已发表论文100余篇。E-mail:cnc@whu.edu.cn
  • 基金资助:

    教育部新世纪优秀人才项目(NCET-11-0394);国家重点基础研究发展计划"973"计划项目"空天地一体化对地观测传感网的理论与方法"( 2011CB7071);国家自然科学基金项目"地学工作流驱动的传感网即时协同制图方法"(41171315);武汉大学研究生自主科研项目基金(2012619020203)。

Progress and Challenges Facing the Semantic Sensor Web for Earth Observation

CHENG Nengcheng, WANG Xiaolei, WANG Chao   

  1. State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2012-11-01 Revised:2012-12-02 Online:2012-12-25 Published:2012-12-25

摘要:

对地观测传感网融入语义技术可以实现资源的明确详尽描述和一致性表达,有助于资源的精确发现和自动组合,实现机器的自动理解。本文回顾了语义传感网三个阶段的发展历程,概括了对地观测语义传感网的基本概念、架构和主要作用,指出对地观测语义传感网提高了其资源的利用率,有助于时空信息的表达、查询和推理。同时分析了以传感器和观测数据为中心的典型本体模型,概括了语义技术在传感网资源的表达、注册、查询、推理和服务5个方面的关键技术和具体应用。针对空天地传感器对地观测和信息聚焦服务等发展需求,提出了对地观测语义传感网的挑战与发展趋势,有助于建立事件驱动的时空多尺度对地观测信息获取与智能服务。

关键词: 本体, 语义网, 传感网, 对地观测, 地理信息科学

Abstract:

The integration of semantics in the context of the Sensor Web for Earth Observation can achieve a clear and detailed description and consistent expression of resources. Due to the large number of sensors and differing accompanying resources, the semantic technology plays a major role in providing resource discovery and automatic composition as well as machine interpretation in an interoperable way. This article summarizes the developments in the field and outlines the concepts, structure, and functions of the Semantic Sensor Web (SSW). Research on the Sensor Web and the Semantic Web has promoted the growth and rapid development of the SSW. The progress of SSW reflects coherent framework for accessing, sharing, discovering, and managing resources across different applications. Most efforts in this area have focused on the key technologies of the SSW, which could be used to construct sensor- and observation-centric typical ontologies. The integration of semantic technologies into the Sensor Web has proposed as important components of complex, heterogeneous and dynamic information systems. It improves the interoperation of heterogeneous resources and communication protocols, and has developed to address this aim of intelligent expression, discovery and services in the Sensor Web. The Sensor Web for Earth Observation lacks of synergism and cannot meet the diversity requirement of comprehensive and emergency monitoring. Using semantics could solve the problems and provide a large-scale observation, high-efficient distributed information fusion and real-time information service. We point out challenges in the context of the needs of ground-airborne-spaceborne integrated SSW to achieving event awareness, synergy observation, efficiently processing and focusing service. The challenges of SSW can be considered as an evolutionary advancement of interoperation on Sensor Web. Future work needs to focus on a wider and deeper scale to establish a new generation of ontology and framework for the Sensor Web.

Key words: Semantic Web, Sensor Web, ontology, geospatial information science, earth observation