IZone: Efficient influence zone evaluation over geo-Textual Data

Qing Liu, Zijin Feng, Xike Xi, Jianliang Xu, Xin Lin, Christian Søndergaard Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-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 languageEnglish
Title of host publicationProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
Number of pages4
PublisherIEEE
Publication date24 Oct 2018
Pages1645-1648
Article number8509418
ISBN (Electronic)978-1-5386-5520-7
DOIs
Publication statusPublished - 24 Oct 2018
Event34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France
Duration: 16 Apr 201819 Apr 2018

Conference

Conference34th IEEE International Conference on Data Engineering, ICDE 2018
Country/TerritoryFrance
CityParis
Period16/04/201819/04/2018

Keywords

  • Demonstration
  • Geo textual data
  • Influence zone

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