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Approximate spatio-temporal top-k publish/subscribe
2018
World wide web (Bussum)
Location-based publish/subscribe plays a significant role in mobile information disseminations. In this light, we propose and study a novel problem of processing location-based top-k subscriptions over spatio-temporal data streams. We define a new type of approximate location-based top-k subscription, Approximate Temporal Spatial-Keyword Top-k (ATSK) Subscription, that continuously feeds users with relevant spatio-temporal messages by considering textual similarity, spatial proximity, and
doi:10.1007/s11280-018-0564-3
fatcat:j2igega64jaz7aqzmyh2dpkzja