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conference paper

Automatic Construction and Multi-level Visualization of Semantic Trajectories

Yan, Zhixian  
•
Spremic, Lazar
•
Chakraborty, Dipanjan
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2010
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS)
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS)

With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories are of heterogeneous entities - vehicles, people, animals, parcels etc. Most applications primarily analyze raw trajectory data and extract geometric patterns. Real-life applications however, need a far more comprehensive, semantic representation of trajectories. This paper demonstrates the automatic construction and visualization capabilities of SeMiTri - a system we built that exploits 3rd party information sources containing geographic information, to semantically enrich trajectories. The construction stack encapsulates several spatio-temporal data integration and mining techniques to automatically compute and annotate all meaningful parts of heterogeneous trajectories. The visualization interface exhibits different levels of data abstraction, from low-level raw trajectories (i.e. the initial GPS trace) to high-level semantic trajectories (i.e. the sequence of interesting places where moving objects have passed and/or stayed).

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