STILT: Unifying Spatial, Temporal and Textual Search using a Generalized Multi-dimensional Index
Yoann S. M. Arseneau, Saransh Gautam, Bradford G. Nickerson, Suprio Ray · 2020
The proliferation of location-enabled sensors, smart phones, and the power of digital messaging combined with social media platforms is producing a deluge of multi-dimensional data. Novel index structures are needed to efficiently process massive amounts of geo-tagged data, and to promptly answer queries with textual, spatial, and temporal components. Existing approaches to spatio-temporal text indexing lack a unified index supporting efficient range and top-k search on any combination of location, time, or text.