Indoor data management

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

    5 Citations (Scopus)

    Abstract

    A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have been designed only for outdoor space. This is mainly because the global positioning system (GPS) and other positioning technologies cannot accurately identify the locations in indoor venues. Some recent initiatives have started to cross this technical barrier, promising huge future opportunities for research organizations, government agencies, technology giants, and enterprizing start-ups - to exploit the potential of indoor LBS. Consequently, indoor data management has gained significant research attention in the past few years and the research interest is expected to surge in the upcoming years. This will result in a broad range of indoor applications including emergency services, public services, in-store advertising, shopping, tracking, guided tours, and much more. In this tutorial, we first highlight the importance of indoor data management and the unique challenges that need to be addressed. Subsequently, we provide an overview of the existing research in indoor data management, covering modeling, cleansing, indexing, querying, and other relevant topics. Finally, we discuss the future research directions in this important and growing research area, discussing spatial-textual search, integrating outdoor and indoor spaces, uncertain indoor data, and indoor trajectory mining.

    Original languageEnglish
    Title of host publicationProceedings of the 2016 IEEE International Conference on Data Engineering (ICDE 2016)
    EditorsMei Hsu, Alfons Kemper, Timos Sellis
    Place of Publication Piscataway, NJ, USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1414-1417
    Number of pages4
    ISBN (Print)9781509020195, 9781509020218
    DOIs
    Publication statusPublished - 23 Jun 2016
    EventIEEE International Conference on Data Engineering 2016 - Aalto University School of Business, Helsinki, Finland
    Duration: 16 May 201620 May 2016
    Conference number: 32nd
    http://icde2016.fi/
    https://ieeexplore.ieee.org/xpl/conhome/7491900/proceeding (Proceedings)

    Conference

    ConferenceIEEE International Conference on Data Engineering 2016
    Abbreviated titleICDE 2016
    CountryFinland
    CityHelsinki
    Period16/05/1620/05/16
    OtherThe annual ICDE conference addresses research issues in designing, building, managing, and evaluating advanced data systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences.
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