St-Toolkit: A Framework for Trajectory Data Warehousing

Turning a collection of simple time-geography data into mobility knowledgeis a key issue in many research domains, such as social analysis and mobility investigation. Although collecting mobility data has become technologically feasible, turning these huge sets of data into mobility knowledge is still an open issue. Data warehousing is a well-established technique used for analysis of summarized data, but is not yet adequate to support spatio-temporal feature-sets. This paper proposes a framework for improving the design and the implementation of data warehouses that support spatio-temporal concepts on top of relational DBMS. This framework has been used for designing and implementing a trajectory data warehouse (TDW) for analyzing traffic data. Besides, we show that this framework also supports OLAP, SOLAP and STOLAP queries.