, Volume 10, Issue 2, pp 213–234

Handling High-Level Queries in Location-Based Services for User Groups



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.


Location Based Services Generalization Grouping Trend exposure 


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Copyright information

© Springer Science + Business Media, LLC 2006

Authors and Affiliations

  1. 1.Research Academic Computer Technology Institute, Data and Knowledge Engineering Group, Research Unit 3AthensGreece
  2. 2.Technical University of CreteChaniaGreece
  3. 3.Talent Information Systems, S.A.AthensGreece

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