Social Spatio-temporal Keyword Pattern (S²KP) Queries in Multiple Aspect Trajectories Databases

Author:

Gryllakis Fragkiskos1,Pelekis Nikos1,Doulkeridis Christos1,Varlamis Iraklis2,Theodoridis Yannis1

Affiliation:

1. University of Piraeus, Greece

2. Harokopio University of Athens, Greece

Publisher

ACM

Reference36 articles.

1. Lisi Chen Gao Cong Christian S. Jensen and Dingming Wu. 2013. Spatial Keyword Query Processing: An Exprerimental Evaluation. PVLDB. DOI: https://doi.org/10.14778/2535569.2448955 Lisi Chen Gao Cong Christian S. Jensen and Dingming Wu. 2013. Spatial Keyword Query Processing: An Exprerimental Evaluation. PVLDB. DOI: https://doi.org/10.14778/2535569.2448955

2. Mobility Patterns

3. A survey and comparison of relational and non-relational database;Jatana Nishtha;International Journal of Engineering Research & Technology,2012

4. GeoLife: A collaborative social networking service among user, location and trajectory;Zheng Yu;IEEE Data Eng. Bull.,2010

5. Daniel C. Andrade , João B. Rocha-Junior , and Daniel G. Costa . 2017. Efficient Processing of Spatio-Temporal-Textual Queries . In Proceedings of the 23rd Brazilian Symposium on Multimedia and the Web (pp. 165-172) . ACM. DOI: https://doi.org/10.1145/3126858.3126877 Daniel C. Andrade, João B. Rocha-Junior, and Daniel G. Costa. 2017. Efficient Processing of Spatio-Temporal-Textual Queries. In Proceedings of the 23rd Brazilian Symposium on Multimedia and the Web (pp. 165-172). ACM. DOI: https://doi.org/10.1145/3126858.3126877

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