论文信息 - Moving Objects beyond Raw and Semantic Trajectories

Moving Objects beyond Raw and Semantic Trajectories

Mobile applications, for example for road traffic monitoring, mobile health and animal data ecology, call for methods enabling rich and expressive representation of moving objects. This demand motivates the increasing concern for the paradigm of semantic trajectories. In this paper, I overview related research, focusing in particular on the novel data model of symbolic trajectories proposed for the efficient and flexible handling of semantics-aware trajectories through a Moving Object DBMS.

Ralf Hartmut Güting | Maria Luisa Damiani | Hamza Issa | Fabio Valdés

[1] Maria Luisa Damiani. Privacy Enhancing Techniques for the Protection of Mobility Patterns in LBS: Research Issues and Trends , 2013, European Data Protection.

[2] Stefano Spaccapietra,et al. Semantic trajectories modeling and analysis , 2013, CSUR.

[3] Fabio Porto,et al. A conceptual view on trajectories , 2008, Data Knowl. Eng..

[4] Markus Schneider,et al. A foundation for representing and querying moving objects , 2000, TODS.

[5] Stefano Spaccapietra,et al. SeMiTri: a framework for semantic annotation of heterogeneous trajectories , 2011, EDBT/ICDT '11.

[6] Matthias Hollick,et al. European Data Protection: Coming of Age , 2013 .

[7] Serge Gutwirth,et al. European Data Protection: Coming of Age , 2013, European Data Protection.

[8] Maria Luisa Damiani,et al. Privacy-Preserving Sharing of Sensitive Semantic Locations under Road-Network Constraints , 2012, 2012 IEEE 13th International Conference on Mobile Data Management.

[9] Ralf Hartmut Güting,et al. Symbolic Trajectories in SECONDO: Pattern Matching and Rewriting , 2013, DASFAA.

[10] Vania Bogorny,et al. A model for enriching trajectories with semantic geographical information , 2007, GIS.

[11] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.