TY - GEN
T1 - Monitoring moving objects using uncertain web data
AU - Lamine, Mouhamadou
AU - Montenez, Ba Sébastien
AU - Abdessalem, Talel
AU - Senellart, Pierre
N1 - Publisher Copyright:
© Copyright 2014 ACM.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - A number of applications deal with monitoring moving objects: cars, aircrafts, ships, persons, etc. Traditionally, this requires capturing data from sensor networks, image or video analysis, or using other application-specific resources. We show in this demonstration paper howWeb content can be exploited instead to gather information (tra-jectories, metadata) about moving objects. As this content is marred with uncertainty and inconsistency, we develop a methodology for estimating uncertainty and filtering the resulting data. We present as an application a demonstration of a system that constructs tra-jectories of ships from social networking data, presenting to a user inferred trajectories, meta-information, as well as uncertainty levels on extracted information and trustworthiness of data providers.
AB - A number of applications deal with monitoring moving objects: cars, aircrafts, ships, persons, etc. Traditionally, this requires capturing data from sensor networks, image or video analysis, or using other application-specific resources. We show in this demonstration paper howWeb content can be exploited instead to gather information (tra-jectories, metadata) about moving objects. As this content is marred with uncertainty and inconsistency, we develop a methodology for estimating uncertainty and filtering the resulting data. We present as an application a demonstration of a system that constructs tra-jectories of ships from social networking data, presenting to a user inferred trajectories, meta-information, as well as uncertainty levels on extracted information and trustworthiness of data providers.
KW - Moving Objects
KW - Social Web Data
KW - Trajectory
KW - Uncertainty Estimation
UR - https://www.scopus.com/pages/publications/84961226222
U2 - 10.1145/2666310.2666370
DO - 10.1145/2666310.2666370
M3 - Conference contribution
AN - SCOPUS:84961226222
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 565
EP - 568
BT - 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
A2 - Schneider, Markus
A2 - Gertz, Michael
A2 - Huang, Yan
A2 - Sankaranarayanan, Jagan
A2 - Krumm, John
PB - Association for Computing Machinery
T2 - 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
Y2 - 4 November 2014 through 7 November 2014
ER -