Abstract
With the emergence of smart phones and the popularity of GPS, the number of point of interest (POIs) is growing rapidly and spatial keyword search based on POIs has attracted significant attention. In this paper, we study a more sophistic type of spatial keyword searches that considers multiple query points and multiple query keywords, namely Aggregate Keyword Routing (AKR). AKR looks for an aggregate point m together with routes from each query point to m. The aggregate point has to satisfy the aggregate keywords, the routes from query points to the aggregate point have to pass POIs in order to complete the tasks specified by the task keywords, and the result route is expected to be the optimal one among all the potential results. In order to process AKR queries efficiently, we propose effective search algorithms, which support different aggregate functions. A comprehensive evaluation has been conducted to evaluate the performance of these algorithms with real datasets.
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Acknowledgment
This research is supported in part by the National Natural Science Foundation of China under grant 61772138, the National Key Research and Development Program of China under grant 2018YFB0505000, and the National Research Foundation, Prime Ministers Office, Singapore under its International Research Centres in Singapore Funding Initiative.
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Jiang, Q., Sun, W., Zheng, B., Chen, K. (2019). Efficient Algorithms for Solving Aggregate Keyword Routing Problems. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11447. Springer, Cham. https://doi.org/10.1007/978-3-030-18579-4_42
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