Abstract
The existing spatial keyword cover query only considers the relevance of the text and the position, and ignores the temporal information of the geospatial objects. In this paper, we define a new query, time-aware spatial keyword cover query (TSKCQ), which takes into account the textual relevance, positional relevance, and temporal information of the objects. A new cost function is proposed in TSKCQ, which is used to evaluate the user’s satisfaction in time and space under the premise of satisfying textual constraints proposed by the user. With this function, an object set with the best cost function value would be returned by TSKCQ. We propose a TR-tree for indexing the temporal and spatial information of objects. Based on this, we propose an exact algorithm to tackle TSKCQ, in which effective pruning strategies are used. Finally, experiments demonstrate the efficiency of the proposed algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
