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ISPRS Int. J. Geo-Inf. 2013, 2(1), 135-154; doi:10.3390/ijgi2010135
Article

Spatial Search Techniques for Mobile 3D Queries in Sensor Web Environments

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Received: 26 December 2012; in revised form: 25 February 2013 / Accepted: 26 February 2013 / Published: 8 March 2013
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Abstract: Developing mobile geo-information systems for sensor web applications involves technologies that can access linked geographical and semantically related Internet information. Additionally, in tomorrow’s Web 4.0 world, it is envisioned that trillions of inexpensive micro-sensors placed throughout the environment will also become available for discovery based on their unique geo-referenced IP address. Exploring these enormous volumes of disparate heterogeneous data on today’s location and orientation aware smartphones requires context-aware smart applications and services that can deal with “information overload”. 3DQ (Three Dimensional Query) is our novel mobile spatial interaction (MSI) prototype that acts as a next-generation base for human interaction within such geospatial sensor web environments/urban landscapes. It filters information using “Hidden Query Removal” functionality that intelligently refines the search space by calculating the geometry of a three dimensional visibility shape (Vista space) at a user’s current location. This 3D shape then becomes the query “window” in a spatial database for retrieving information on only those objects visible within a user’s actual 3D field-of-view. 3DQ reduces information overload and serves to heighten situation awareness on constrained commercial off-the-shelf devices by providing visibility space searching as a mobile web service. The effects of variations in mobile spatial search techniques in terms of query speed vs. accuracy are evaluated and presented in this paper.
Keywords: mobile spatial interaction; location-based GeoComputation; GeoSpatial Sensor Web; iThings mobile spatial interaction; location-based GeoComputation; GeoSpatial Sensor Web; iThings
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Yin, J.; Carswell, J.D. Spatial Search Techniques for Mobile 3D Queries in Sensor Web Environments. ISPRS Int. J. Geo-Inf. 2013, 2, 135-154.

AMA Style

Yin J, Carswell JD. Spatial Search Techniques for Mobile 3D Queries in Sensor Web Environments. ISPRS International Journal of Geo-Information. 2013; 2(1):135-154.

Chicago/Turabian Style

Yin, Junjun; Carswell, James D. 2013. "Spatial Search Techniques for Mobile 3D Queries in Sensor Web Environments." ISPRS Int. J. Geo-Inf. 2, no. 1: 135-154.

ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert