%0 Journal Article
%T Spatial Search Techniques for Mobile 3D Queries in Sensor Web Environments
%A Junjun Yin
%A James D. Carswell
%J ISPRS International Journal of Geo-Information
%D 2013
%I MDPI AG
%R 10.3390/ijgi2010135
%X 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.
%K mobile spatial interaction
%K location-based GeoComputation
%K GeoSpatial Sensor Web
%K iThings
%U http://www.mdpi.com/2220-9964/2/1/135