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GIS
2010
ACM

Automatic construction and multi-level visualization of semantic trajectories

9 years 10 months ago
Automatic construction and multi-level visualization of semantic trajectories
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 e exhibits different levels of data abstraction, from low-level raw trajectories (i.e. the initial GPS trace) to highl...
Zhixian Yan, Lazar Spremic, Dipanjan Chakraborty,
Added 25 Jan 2011
Updated 25 Jan 2011
Type Journal
Year 2010
Where GIS
Authors Zhixian Yan, Lazar Spremic, Dipanjan Chakraborty, Christine Parent, Stefano Spaccapietra, Karl Aberer
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