• DocumentCode
    2441036
  • Title

    Context-aware data discovery

  • Author

    Namiot, Dmitry ; Sneps-Sneppe, Manfred

  • Author_Institution
    Lomonosov Moscow State Univ., Lomonosov, Russia
  • fYear
    2012
  • fDate
    8-11 Oct. 2012
  • Firstpage
    134
  • Lastpage
    141
  • Abstract
    This paper discusses context-aware data browsing and data retrieval for mobile subscribers. We describe existing models as well as provide a new description for our SpotEx approach. Our model for context-aware data discovery uses mobile phones as proximity sensors. In our concept, any existing or even specially created wireless network node could be used as a presence sensor that can open (discover) access to some dynamic or user-generated content. The content itself could also be linked to social media. An appropriate mobile service (context-aware browser) can present that information to mobile subscribers. Potential use-cases for the proposed approach include any project associated with hyper-local news data. For example, projects providing Smart City data, delivering indoor retail information, etc.
  • Keywords
    content management; information retrieval; mobile computing; mobile handsets; social networking (online); SpotEx approach; context-aware data browsing; context-aware data discovery; data retrieval; dynamic content; hyper-local news data; indoor retail information; mobile phones; mobile service; mobile subscribers; proximity sensors; smart city data; social media; user-generated content; wireless network node; Browsers; Context; IEEE 802.11 Standards; Mobile communication; Mobile handsets; Sensors; Web pages; Wi-Fi; browsing; collaborative location; context-ware computing; data mining; proximity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence in Next Generation Networks (ICIN), 2012 16th International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4673-1527-2
  • Electronic_ISBN
    978-1-4673-1525-8
  • Type

    conf

  • DOI
    10.1109/ICIN.2012.6376016
  • Filename
    6376016