Journal article

Efficient processing of moving collective spatial keyword queries

Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang

The VLDB Journal | Springer | Published : 2020

Abstract

As a major type of continuous spatial queries, the moving spatial keyword queries have been studied extensively. Most existing studies focus on retrieving single objects, each of which is close to the query object and relevant to the query keywords. Nevertheless, a single object may not satisfy all the needs of a user, e.g., a user who is driving may want to withdraw money, wash her car, and buy some medicine, which could only be satisfied by multiple objects. We thereby formulate a new type of queries named the moving collective spatial keyword query (MCSKQ). This type of queries continuously reports a set of objects that collectively cover the query keywords as the query moves. Meanwhile, ..

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Grants

Awarded by National Key R&D Program of China


Awarded by National Natural Science Foundation of China


Awarded by Fundamental Research Funds for the Central Universities


Awarded by Liao Ning Revitalization Talents Program


Funding Acknowledgements

This work is supported by the National Key R&D Program of China (2018YFB1003404), the National Natural Science Foundation of China (61872070, U1811261), the Fundamental Research Funds for the Central Universities (N171605001) and Liao Ning Revitalization Talents Program (XLYC1807158).