IZone: Efficient influence zone evaluation over geo-Textual Data

Qing Liu; Zijin Feng; Xike Xie; Jianliang Xu; Xin Lin; Christian S. Jensen

doi:10.1109/ICDE.2018.00197

IZone: Efficient influence zone evaluation over geo-Textual Data

Qing Liu, Zijin Feng, Xike Xie, Jianliang Xu, Xin Lin, Christian S. Jensen

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
Publisher	IEEE
Pages	1645-1648
Number of pages	4
ISBN (Electronic)	9781538655207
DOIs	https://doi.org/10.1109/ICDE.2018.00197
Publication status	Published - 24 Oct 2018
Event	34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France Duration: 16 Apr 2018 → 19 Apr 2018 https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding

Publication series

Name	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

Conference

Conference	34th IEEE International Conference on Data Engineering, ICDE 2018
Country/Territory	France
City	Paris
Period	16/04/18 → 19/04/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding

Scopus Subject Areas

Information Systems
Information Systems and Management
Hardware and Architecture

User-Defined Keywords

Demonstration
Geo textual data
Influence zone

Access to Document

10.1109/ICDE.2018.00197

Cite this

Liu, Q., Feng, Z., Xie, X., Xu, J., Lin, X., & Jensen, C. S. (2018). IZone: Efficient influence zone evaluation over geo-Textual Data. In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 1645-1648). Article 8509418 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018). IEEE. https://doi.org/10.1109/ICDE.2018.00197

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title = "IZone: Efficient influence zone evaluation over geo-Textual Data",

abstract = "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.",

keywords = "Demonstration, Geo textual data, Influence zone",

author = "Qing Liu and Zijin Feng and Xike Xie and Jianliang Xu and Xin Lin and Jensen, {Christian S.}",

note = "Funding Information: ACKNOWLEDGMENTS This work is supported by HK-RGC grants 12200817 and 12201615.; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

year = "2018",

month = oct,

day = "24",

doi = "10.1109/ICDE.2018.00197",

language = "English",

series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",

publisher = "IEEE",

pages = "1645--1648",

booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding",

}

Liu, Q, Feng, Z, Xie, X, Xu, J, Lin, X & Jensen, CS 2018, IZone: Efficient influence zone evaluation over geo-Textual Data. in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018., 8509418, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, IEEE, pp. 1645-1648, 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16/04/18. https://doi.org/10.1109/ICDE.2018.00197

IZone: Efficient influence zone evaluation over geo-Textual Data. / Liu, Qing; Feng, Zijin; Xie, Xike et al.
Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. IEEE, 2018. p. 1645-1648 8509418 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Feng, Zijin

AU - Xie, Xike

AU - Xu, Jianliang

AU - Lin, Xin

AU - Jensen, Christian S.

N1 - Funding Information: ACKNOWLEDGMENTS This work is supported by HK-RGC grants 12200817 and 12201615.

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.

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ER -

IZone: Efficient influence zone evaluation over geo-Textual Data

Abstract

Publication series

Conference

Scopus Subject Areas

User-Defined Keywords

Access to Document

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