Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Capturing the Uncertainty of Moving-Object Representations
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Managing Uncertainty: Modeling Users in Location-Tracking Applications
IEEE Pervasive Computing
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient indexing methods for probabilistic threshold queries over uncertain data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
An interaction framework for mobile web search
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Managing uncertainty in location-based queries
Fuzzy Sets and Systems
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This paper describes Matrioshka GeoScent, a prototypal system able to answer uncertain location based queries submitted by a moving user. The user searches for georeferenced resources on the web, by entering topics keywords, and specify the uncertain spatio temporal condition on their location by specifying a time span. This last condition is a spatio-temporal constraint on the resources distance from the estimated user’s location reached in the given time span (e.g. “restaurants close to my possible location reached in half an hour”). Queries are evaluated by modeling the user context, i.e., the underlying road network, the last tracked positions and direction, as well as other factors that can influence the speed such as the type of transport, the type of road, the day, the weather conditions. The system, by modeling the user context, determines the possible user locations at a specified time instant and retrieves the web pages describing the desired georeferenced resources, ranked combining their route distance from the estimated possible user location and their topics relevance.