SeMiTri: a framework for semantic annotation of heterogeneous trajectories

GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For application purposes the stream is transformed into finite subsequences called trajectories. Existing knowledge extraction algorithms defined for trajectories mainly assume a specific context (e.g. vehicle movements) or analyze specific parts of a trajectory (e.g. stops), in association with data from chosen geographic sources (e.g. points-of-interest, road networks). We investigate a more comprehensive semantic annotation framework that allows enriching trajectories with any kind of semantic data provided by multiple 3rd party sources. This paper presents SeMiTri - the framework that enables annotating trajectories for any kind of moving objects. Doing so, the application can benefit from a “semantic trajectory” representation of the physical movement. The framework and its algorithms have been designed to w...

• Type: Journal
• Year: 2011
• Where: EDBT
• Authors: Zhixian Yan, Dipanjan Chakraborty, Christine Parent, Stefano Spaccapietra, Karl Aberer
• Keywords: Database, EDBT 2011, Geographic Sources, Semantic Annotation, Spatial Databases