Retrieving top-k famous places in location-based social networks

Ammar Sohail, Ghulam Murtaza, David Taniar

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

    1 Citation (Scopus)

    Abstract

    The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people’s various attributes and characteristics to provide various Geo-Social (GS) services. In this paper, we propose a new type of query called Top-k famous places TkFP query, which enriches the semantics of the conventional spatial query by introducing a social relevance component. In addition, three approaches namely, (1) Social-First (2) Spatial-First and (3) Hybrid are proposed to efficiently process TkFP queries. Finally, we conduct an exhaustive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.

    Original languageEnglish
    Title of host publicationDatabases Theory and Applications
    Subtitle of host publication27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings
    EditorsMuhammad Aamir Cheema, Lijun Chang, Wenjie Zhang
    Place of PublicationCham, Switzerland
    PublisherSpringer
    Pages17-30
    Number of pages14
    ISBN (Electronic)9783319469225
    ISBN (Print)9783319469218
    DOIs
    Publication statusPublished - 2016
    EventAustralasian Database Conference 2016 - The University of New South Wales, Sydney, Australia
    Duration: 28 Sep 201629 Sep 2016
    Conference number: 27th
    https://adc2016.cse.unsw.edu.au/

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume9877 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceAustralasian Database Conference 2016
    Abbreviated titleADC 2016
    CountryAustralia
    CitySydney
    Period28/09/1629/09/16
    OtherThe Australasian Database Conference series is an annual forum for sharing the latest research progresses and novel applications of database systems, data driven applications and data analytics for researchers and practitioners in these areas from Australia, New Zealand and in the world.
    Internet address

    Cite this

    Sohail, A., Murtaza, G., & Taniar, D. (2016). Retrieving top-k famous places in location-based social networks. In M. Aamir Cheema, L. Chang, & W. Zhang (Eds.), Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings (pp. 17-30). (Lecture Notes in Computer Science ; Vol. 9877 LNCS). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-46922-5_2
    Sohail, Ammar ; Murtaza, Ghulam ; Taniar, David. / Retrieving top-k famous places in location-based social networks. Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. editor / Muhammad Aamir Cheema ; Lijun Chang ; Wenjie Zhang. Cham, Switzerland : Springer, 2016. pp. 17-30 (Lecture Notes in Computer Science ).
    @inproceedings{ba29c92fa11b463dadc5fc304d0d5a60,
    title = "Retrieving top-k famous places in location-based social networks",
    abstract = "The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people’s various attributes and characteristics to provide various Geo-Social (GS) services. In this paper, we propose a new type of query called Top-k famous places TkFP query, which enriches the semantics of the conventional spatial query by introducing a social relevance component. In addition, three approaches namely, (1) Social-First (2) Spatial-First and (3) Hybrid are proposed to efficiently process TkFP queries. Finally, we conduct an exhaustive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.",
    author = "Ammar Sohail and Ghulam Murtaza and David Taniar",
    year = "2016",
    doi = "10.1007/978-3-319-46922-5_2",
    language = "English",
    isbn = "9783319469218",
    series = "Lecture Notes in Computer Science",
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    booktitle = "Databases Theory and Applications",

    }

    Sohail, A, Murtaza, G & Taniar, D 2016, Retrieving top-k famous places in location-based social networks. in M Aamir Cheema, L Chang & W Zhang (eds), Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. Lecture Notes in Computer Science , vol. 9877 LNCS, Springer, Cham, Switzerland, pp. 17-30, Australasian Database Conference 2016, Sydney, Australia, 28/09/16. https://doi.org/10.1007/978-3-319-46922-5_2

    Retrieving top-k famous places in location-based social networks. / Sohail, Ammar; Murtaza, Ghulam; Taniar, David.

    Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. ed. / Muhammad Aamir Cheema; Lijun Chang; Wenjie Zhang. Cham, Switzerland : Springer, 2016. p. 17-30 (Lecture Notes in Computer Science ; Vol. 9877 LNCS).

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

    TY - GEN

    T1 - Retrieving top-k famous places in location-based social networks

    AU - Sohail, Ammar

    AU - Murtaza, Ghulam

    AU - Taniar, David

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    Y1 - 2016

    N2 - The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people’s various attributes and characteristics to provide various Geo-Social (GS) services. In this paper, we propose a new type of query called Top-k famous places TkFP query, which enriches the semantics of the conventional spatial query by introducing a social relevance component. In addition, three approaches namely, (1) Social-First (2) Spatial-First and (3) Hybrid are proposed to efficiently process TkFP queries. Finally, we conduct an exhaustive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.

    AB - The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people’s various attributes and characteristics to provide various Geo-Social (GS) services. In this paper, we propose a new type of query called Top-k famous places TkFP query, which enriches the semantics of the conventional spatial query by introducing a social relevance component. In addition, three approaches namely, (1) Social-First (2) Spatial-First and (3) Hybrid are proposed to efficiently process TkFP queries. Finally, we conduct an exhaustive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.

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    SN - 9783319469218

    T3 - Lecture Notes in Computer Science

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    BT - Databases Theory and Applications

    A2 - Aamir Cheema, Muhammad

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    Sohail A, Murtaza G, Taniar D. Retrieving top-k famous places in location-based social networks. In Aamir Cheema M, Chang L, Zhang W, editors, Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. Cham, Switzerland: Springer. 2016. p. 17-30. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-319-46922-5_2