TY - GEN
T1 - A spatiotemporal model for ephemeral data in pervasive computing networks
AU - Michel, Jonas
AU - Julien, Christine
AU - Payton, Jamie
AU - Roman, Gruia Catalin
PY - 2012
Y1 - 2012
N2 - Pervasive computing evokes a vision of digitally-accessible environments with which applications and users interact in localized ways. In this vision, information is ephemeral: it is created, moved, stored, and deleted on-demand at rapid rates. Without a formal data model that enables the data itself to speak about its spatial and temporal bearings, it is difficult to build support for accessing an information-rich digital world in a general-purpose way. In this paper, we demonstrate the need for an expressive data model of the inherently ephemeral data in pervasive computing and propose the beginnings of such a model that explicitly tags information with spatial and temporal semantics. Our model is founded on spatiotemporal trajectories, which capture the spatial and temporal semantics of data and the phenomenon it represents. We further demonstrate both the need for and potential impact of a general-purpose expressive spatiotemporal data model using several use cases.
AB - Pervasive computing evokes a vision of digitally-accessible environments with which applications and users interact in localized ways. In this vision, information is ephemeral: it is created, moved, stored, and deleted on-demand at rapid rates. Without a formal data model that enables the data itself to speak about its spatial and temporal bearings, it is difficult to build support for accessing an information-rich digital world in a general-purpose way. In this paper, we demonstrate the need for an expressive data model of the inherently ephemeral data in pervasive computing and propose the beginnings of such a model that explicitly tags information with spatial and temporal semantics. Our model is founded on spatiotemporal trajectories, which capture the spatial and temporal semantics of data and the phenomenon it represents. We further demonstrate both the need for and potential impact of a general-purpose expressive spatiotemporal data model using several use cases.
UR - https://www.scopus.com/pages/publications/84861548362
UR - https://www.scopus.com/pages/publications/84861548362#tab=citedBy
U2 - 10.1109/PerComW.2012.6197474
DO - 10.1109/PerComW.2012.6197474
M3 - Conference contribution
AN - SCOPUS:84861548362
SN - 9781467309073
T3 - 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
SP - 179
EP - 184
BT - 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
PB - IEEE Computer Society
T2 - 10th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
Y2 - 19 March 2012 through 23 March 2012
ER -