2013
Report  Unknown

Mob-Warehouse: a semantic approach for mobility analysis with a trajectory data warehouse

Wagner R., De Macedo J. A. F., Raffaetà A., Renso C., Roncato A., Trasarti R.

DAta Warehouse  Semantic trajectories  Conceptual model  Database Applications 

The effective analysis and understanding of huge amount of mobility data have been a hot research topic in the last few years. Some proposals addressed the definition of Trajectory Data Warehouses (TDW) as a way to represent and aggregate mobility data, where the ba- sic object is the trajectory. In this paper, we introduce Mob-Warehouse, a TDW which goes a step further since it models trajectories enriched with semantics. In Mob-Warehouse, the unit of movement is the (spatio- temporal) point enriched with several non spatio-temporal dimensions including the activity, the transportation means and the mobility pat- tern. This model allows us to answer the classical Why, Who, When, Where, What, How questions providing an aggregated view of different aspects of the user movements, no longer limited to space and time. We briefly present an experiment of Mob-Warehouse on a real dataset.

Source: ISTI Technical reports, 2013



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BibTeX entry
@techreport{oai:it.cnr:prodotti:272562,
	title = {Mob-Warehouse: a semantic approach for mobility analysis with a trajectory data warehouse},
	author = {Wagner R. and De Macedo J.  A.  F. and Raffaetà A. and Renso C. and Roncato A. and Trasarti R.},
	institution = {ISTI Technical reports, 2013},
	year = {2013}
}

SEEK
Semantic EnrichmEnt of trajectory Knowledge discovery


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