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Artificial Intelligence
Hierarchical reasoning about direction relations
GIS '96 Proceedings of the 4th ACM international workshop on Advances in geographic information systems
The Unified Modeling Language user guide
The Unified Modeling Language user guide
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ACM Transactions on Database Systems (TODS)
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WMC '01 Proceedings of the 1st international workshop on Mobile commerce
Editorial: Spatio-Temporal Data Models and Languages
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BT Technology Journal
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SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
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SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
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IW-MMDBMS '95 Proceedings of the International Workshop on Multi-Media Database Management Systems
Detection and generalization of spatio-temporal trajectories for motion imagery
Detection and generalization of spatio-temporal trajectories for motion imagery
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GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Location Based Services
Modeling, Storing, and Mining Moving Object Databases
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
Capturing complex multidimensional data in location-based data warehouses
Proceedings of the 12th annual ACM international workshop on Geographic information systems
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dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
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WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
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WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
Modular neural networks for map-matched GPS positioning
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
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In this paper we deal with the high level management of data involved in Location-Based Services in order to accommodate corresponding queries. A series of techniques are employed on major components of an LBS, namely mobile users, application environment and selected services. First, a grouping technique generalizes the spatio-temporal data describing the mobile users' movement. The environment is represented under a combined spatial and content hierarchy according to the application at hand. Finally, in the service component, relational operators are formed to support relative spatio-temporal queries, while lifeline data types are constructed to extract and compare behavioral trend patterns among the formed user groups. We show how all proposed techniques communicate under a common database schema. Answers to characteristic queries demonstrate the applicability of this work.