Time-Aware Boolean Spatial Keyword Queries (Extended Abstract)

Gang Chen, Jingwen Zhao, Yunjun Gao, Lei Chen, Rui Chen

Abstract: This paper explores the Time-Aware Boolean Spatial Keyword Query (TABSKQ) that finds the geo-tagged objects satisfying user's spatial, textual, and temporal constraints. Towards this, we propose an efficient index structure so-called the TA-tree and its corresponding algorithms, which can efficiently prune the search space using both spatio-temporal and textual information. Extensive experiments with real datasets offer insight into the performance of our proposed index and algorithms.