Trajectory Data Management

Trajectories describe the movement of objects in a reference space through a sequence of temporally annotated points sampling the object location in such a space. Spatial trajectories are the most popular form of trajectories. Yet spatial trajectories fall short in representing rich contextual information consisting of e.g. time-varying symbolic annotations. That has led to the investigation of more expressive trajectory data models, specifically:

Semantic trajectories: a conceptual framework for the description of semantically enriched trajectories (joint work with S. Spaccapietra)

Symbolic trajectories: a novel and fully operational trajectory data model based on a symbolic representation (joint work with R. Güting).

Spatio-textual trajectories: an operational framework for the representation and access to temporally overlaying spatial and symbolic trajectories.

Publications

  • M.L. Damiani, F. Hachem (2017). Segmentation techniques for the summarization of individual mobility data. WIREs Data Mining and Knowledge Discovery (accepted).
  • H. Issa (2017). Spatio-textual trajectories: models and applications. PhD Thesis, Feb. 2017
  • H. Issa, M.L. Damiani (2016). Efficient access to temporally overlaying spatial and textual trajectories, IEEE MDM
  • R.H. Güting, F. Valdés, M.L. Damiani (2015). Symbolic trajectories. ACM Transactions on Spatial Algorithms and Systems, Vol 1, Issue 2
  • M.L. Damiani, H. Issa, R. H. Güting, F. Valdés (2015). Symbolic trajectories and application challenges. SIGSPATIAL Special 7(1)
  • M.L. Damiani, H. Issa, F. Cagnacci (2014). Extracting stay regions with uncertain boundaries from GPS Trajectories. ACM SIGSPATIAL’14
  • M.L. Damiani, H. Issa, R.H. Güting, F. Valdés (2014). Hybrid queries over symbolic and spatial trajectories: a usage scenario. IEEE MDM 2014, Brisbane, AU
  • M.L. Damiani, R.H. Güting (2014). Semantic trajectories and beyond. IEEE MDM 2014, Brisbane, AU.
  • F. Valdés, M.L. Damiani, R.H. Güting (2013). Symbolic Trajectories in SECONDO: Pattern Matching and Rewriting. DASFAA, Wuhan, China
  • S. Spaccapietra, C. Parent, C. Renso, G. Andrienko, N. Andrienko. V. Bogorny, M.L. Damiani et al. (2013).Semantic Trajectories Modeling and Analysis, ACM Computing Surveys, 45(4)
  • S. Spaccapietra, C. Parent, M.L. Damiani, M. Machedo, F. Porto and C. Vangenot (2008). A Conceptual View On Trajectories. Data and Knowledge Engineering, Elsevier,Volume 65, Issue 1

Awards: Best Demo Paper, DASFAA 2013. F. Valdés, M.L. Damiani, R.H. Güting (2013). Symbolic Trajectories in SECONDO: Pattern Matching and Rewriting.

start/trajectories.txt · Last modified: 2017/06/01 12:12 by Maria Luisa Damiani
CC Attribution-Noncommercial-Share Alike 4.0 International
Driven by DokuWiki Recent changes RSS feed Valid CSS Valid XHTML 1.0