Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model

Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model

Byounghyun Yoo (Korea Institute of Science and Technology, South Korea)
DOI: 10.4018/978-1-4666-9845-1.ch049
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This chapter investigates how the visualization of sensor resources on a 3D Web-based globe organized by level-of-detail can enhance search and exploration of information by easing the formulation of geospatial queries against the metadata of sensor systems. The case study provides an approach inspired by geographical mashups in which freely available functionality and data are flexibly combined. The authors use PostgreSQL, PostGIS, PHP, X3D-Earth, and X3DOM to allow the Web3D standard and its geospatial component to be used for visual exploration and level-of-detail control of a dynamic scene. The proposed approach facilitates the dynamic exploration of the Sensor Web and allows the user to seamlessly focus in on a particular sensor system from a set of registered sensor networks deployed across the globe. In this chapter, the authors present a prototype metadata exploration system featuring levels-of-detail for a multi-scaled Sensor Web and use it to visually explore sensor data of weather stations.
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Similar to the W3C Web standards enabling the WWW, the Open Geospatial Consortium’s Sensor Web Enablement (SWE) standards enable researchers and developers to make sensing resources discoverable, accessible, and re-useable via the Web. The SWE is composed of candidate specifications including Observation and Measurement (O&M), Sensor Model Language (SensorML), and Sensor Observation Service (SOS). The Sensor Instance Registry (SIR) was introduced as a web service interface for discovering sensors, collecting sensor metadata, handling sensor status information and to close the gap between the SensorML based metadata model and the information models used by Open Geospatial Consortium (OGC) Catalogs (Jirka & Nüst, 2010). A reader can refer to the recent publication (Bröring et al., 2011) to get detail information about examples and applications of SWE.

A semantic approach is necessary to facilitate discovery of heterogeneous sensor resources and their datasets. Research on the Semantic Sensor Web (Sheth et al., 2008) investigates the role of semantic annotation, ontologies, and reasoning to improve Sensor Web functionality including sensor discovery and sensor integration. Related work in this field includes methods for linking geosensor databases with ontologies (Hornsby & King, 2008), a semantically-enabled Sensor Observation Service (SemSOS) (Henson et al., 2009) or the semantic annotation of sensor services with terms from ontologies (Babitski et al., 2009).

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