DSKQ: a system for efficient processing of diversified spatial-keyword query

Shanqing Jiang, Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Xiaoyang Wang

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther


    With the rapid development of mobile portable devices and location positioning technologies, massive amount of geo-textual data are being generated by a huge number of web users on various social platforms, such as Facebook and Twitter. Meanwhile, spatial-textual objects that represent Point-of-interests (POIs, e.g., shops, cinema, hotel or restaurant) are increasing pervasively. Consequently, how to retrieve a set of objects that best matches the user’s submitted spatial keyword query (SKQ) has been intensively studied by the research communities and commercial organisations. Existing works only focus on returning the nearest matching objects, although we observe that many real-life applications are now using diversification to enhance the quality of the query results. Thus, existing methods fail to solve the problem of diversified SKQ efficiently. In this demonstration, we introduce DSKQ, a diversified in-memory spatial-keyword query system, which considers both the textual relevance and the spatial diversity of the results processing on road network. We present a prototype of DSKQ which provides users with an application-based interface to explore the diversified spatial-keyword query system.

    Original languageEnglish
    Title of host publicationDatabases Theory and Applications
    Subtitle of host publication28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25-28, 2017, Proceedings
    EditorsZi Huang, Xiaokui Xiao, Xin Cao
    Place of PublicationCham Switzerland
    Number of pages5
    ISBN (Electronic)9783319681559
    ISBN (Print)9783319681542
    Publication statusPublished - 2017
    EventAustralasian Database Conference 2017 - Brisbane, Australia
    Duration: 25 Sep 201728 Sep 2017
    Conference number: 28th
    https://link.springer.com/book/10.1007/978-3-319-68155-9 (Proceedings)

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceAustralasian Database Conference 2017
    Abbreviated titleADC 2017
    Internet address


    • Boolean range query
    • Diversification
    • Spatial-keyword query

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