Istituto di Scienza e Tecnologie dell'Informazione     
Wagner R., De Macedo J. A., Raffaeta' A., Renso C., Roncato A., Trasarti R. Mob-Warehouse: a semantic approach for mobility analysis with a Trajectory Data Warehouse. Jeffrey Parsons, Dickson Chiu (eds.). (Lecture Notes in Computer Science, vol. 8697). Cham, Switzerland: Springer, 2014.
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.
URL: http://link.springer.com/chapter/10.1007%2F978-3-319-14139-8_15
DOI: 10.1007/978-3-319-14139-8_15
Subject Semantic trajectory warehouse
H.2.8 Database Applications

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