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Liping Zhang, Jing Li and Song Li
A new spatial keyword group query method is proposed in this paper to address the existing issue of user privacy leakage and exclusion of preferences in road networks. The proposed query method is based on the IGgram-tree index and minimum hash set. To d...
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Liping Zhang, Jing Li and Song Li
Aiming at the problem that the existing spatial keyword group query problem did not consider the query requirements with exclusion keywords and time attributes, a time-aware group query problem with exclusion keywords (TEGSKQ) is proposed for the first t...
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Aopeng Xu, Zhiyuan Zhang, Xiaqing Ma, Zixiang Zhang and Tao Xu
As a basic method of spatial data operation, spatial keyword query can provide meaningful information to meet user demands by searching spatial textual datasets. How to accurately understand users? intentions and efficiently retrieve results from spatial...
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Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney and Chaowei Yang
One longstanding complication with Earth data discovery involves understanding a user?s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data. Little attention has focused on the spatial and tempor...
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Ze Deng, Meng Wang, Lizhe Wang, Xiaohui Huang, Wei Han, Junde Chu and Albert Y. Zomaya
Current social-network-based and location-based-service applications need to handle continuous spatial approximate keyword queries over geo-textual streaming data of high density. The continuous query is a well-known expensive operation. The optimization...
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Xiangdian Zhu, Ye Wu, Luo Chen and Ning Jing
The tremendous advance in information technology has promoted the rapid development of location-based services (LBSs), which play an indispensable role in people?s daily lives. Compared with a traditional LBS based on Point-Of-Interest (POI), which is an...
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