TY - GEN
T1 - IZone
T2 - 34th IEEE International Conference on Data Engineering, ICDE 2018
AU - Liu, Qing
AU - Feng, Zijin
AU - Xie, Xike
AU - Xu, Jianliang
AU - Lin, Xin
AU - Jensen, Christian S.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/24
Y1 - 2018/10/24
N2 - Owing to the widespread use of location-Aware devices and the increased popularity of micro-blogging applications, we are witnessing a rapid proliferation of geo-Textual data. In this demonstration, we present iZone, an efficient system for determining influence zones over geo-Textual data. Specifically, iZone allows users to browse geo-Textual objects, evaluate the influence zones of specified geo-Textual objects, and obtain explanations of the evaluation results. The iZone system adopts a browser-server model. The server side integrates two types of spatial keyword search, namely top-k spatial keyword query and reverse top-k keyword-based location query, to support the functionality of the system. A variety of spatial indexes are employed to enhance the efficiency of the system. The browser side provides a map-based GUI interface, which enables convenient and user-friendly interaction with the system. Using a real hotel dataset from Hong Kong, iZone offers hands-on experience with influence zone evaluation in real-life applications.
AB - Owing to the widespread use of location-Aware devices and the increased popularity of micro-blogging applications, we are witnessing a rapid proliferation of geo-Textual data. In this demonstration, we present iZone, an efficient system for determining influence zones over geo-Textual data. Specifically, iZone allows users to browse geo-Textual objects, evaluate the influence zones of specified geo-Textual objects, and obtain explanations of the evaluation results. The iZone system adopts a browser-server model. The server side integrates two types of spatial keyword search, namely top-k spatial keyword query and reverse top-k keyword-based location query, to support the functionality of the system. A variety of spatial indexes are employed to enhance the efficiency of the system. The browser side provides a map-based GUI interface, which enables convenient and user-friendly interaction with the system. Using a real hotel dataset from Hong Kong, iZone offers hands-on experience with influence zone evaluation in real-life applications.
KW - Demonstration
KW - Geo textual data
KW - Influence zone
UR - https://www.scopus.com/pages/publications/85057082148
U2 - 10.1109/ICDE.2018.00197
DO - 10.1109/ICDE.2018.00197
M3 - 会议稿件
AN - SCOPUS:85057082148
T3 - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
SP - 1645
EP - 1648
BT - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 April 2018 through 19 April 2018
ER -