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2011
ACM

SeMiTri: a framework for semantic annotation of heterogeneous trajectories

7 years 9 months ago
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...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren
Added 27 Aug 2011
Updated 27 Aug 2011
Type Journal
Year 2011
Where EDBT
Authors Zhixian Yan, Dipanjan Chakraborty, Christine Parent, Stefano Spaccapietra, Karl Aberer
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