Focus on movement data has increased as a consequence of the larger availability of such data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in movement has shifted from raw movement data analysis to more application-oriented ways of analyzing segments of movement suitable for the specific purposes of the application. This trend has promoted semantically rich trajectories, rather than raw movement, as the core object of interest in mobility studies. This survey provides the definitions of the basic concepts about mobility data, an analysis of the issues in mobility data management, and a survey of the approaches and techniques for: (i) constructing trajectories from movement tracks, (ii) enriching trajectories with semantic information to enable the desired interpretations of movements, and (iii) using data mining to analyze semantic trajectories and extract knowledge about their characteristics, in particular the behavioral patterns of the moving objects. Last but not least, the article surveys the new privacy issues that arise due to the semantic aspects of trajectories.
Semantic trajectories modeling and analysis / C. Parent, S. Spaccapietra, C. Renso, G. Andrienko, N. Andrienko, V. Bogorny, DAMIANI MARIA LUISA, A. Gkoulalas Divanis, J. Macedo, N. Pelekis, Y. Theodoridis, Z. Yan. - In: ACM COMPUTING SURVEYS. - ISSN 0360-0300. - 45:4(2013 Aug), pp. 2501656.1-2501656.32.
|Titolo:||Semantic trajectories modeling and analysis|
|Parole Chiave:||Activity identification; Data mining; GPS; Mobility data; Mobility tracks; Movement; Semantic enrichment; Tracking; Trajectories; Trajectory behavior|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
|Data di pubblicazione:||ago-2013|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1145/2501654.2501656|
|Appare nelle tipologie:||01 - Articolo su periodico|