A Natural-language-based Visual Query Approach of Uncertain Human Trajectories

Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate geographic coordinates, e.g., positions of a mobile...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2020-01, Vol.26 (1), p.1256-1266
Hauptverfasser:	Huang, Zhaosong, Zhao, Ye, Chen, Wei, Gao, Shengjie, Yu, Kejie, Xu, Weixia, Tang, Mingjie, Zhu, Minfeng, Xu, Mingliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Graphics Databases, Factual Engines Global positioning systems GPS Humans Indexing Movement - physiology Natural Language Processing Natural languages Natural-language-based Visual Query Queries Query languages Satellite navigation systems Semantics Spatial Uncertaity Spatiotemporal phenomena Trajectories Trajectory Trajectory Exploration Uncertainty User-Computer Interface Visualization
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