Handling High-Level Queries in Location-Based Services for User Groups
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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.
KeywordsLocation Based Services Generalization Grouping Trend exposure
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