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
ISBN13: 9781466681477|ISBN10: 1466681470|EISBN13: 9781466681484
DOI: 10.4018/978-1-4666-8147-7.ch009
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MLA

Yoo, Byounghyun. "Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model." Artificial Intelligence Technologies and the Evolution of Web 3.0, edited by Tomayess Issa and Pedro Isaías, IGI Global, 2015, pp. 189-208. https://doi.org/10.4018/978-1-4666-8147-7.ch009

APA

Yoo, B. (2015). Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model. In T. Issa & P. Isaías (Eds.), Artificial Intelligence Technologies and the Evolution of Web 3.0 (pp. 189-208). IGI Global. https://doi.org/10.4018/978-1-4666-8147-7.ch009

Chicago

Yoo, Byounghyun. "Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model." In Artificial Intelligence Technologies and the Evolution of Web 3.0, edited by Tomayess Issa and Pedro Isaías, 189-208. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8147-7.ch009

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Abstract

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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