Crowdsourcing sensor tasks to a socio-geographic network

Damian Lasnia, Arne Broering, Simon Jirka, Albert Remke

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    This work describes an approach of a socio-geographic network for crowdsourcing sensor tasks to a human sensor web. Users can register as human sensors at the system by defining their skills and impact area. Based on that information, submitted sensor tasks are forwarded to the most suitable human sensor. Motivated by their willingness to help, users can support others by supplying information about their local environment as responses to sensor task requests. This enables people to retrieve data which is currently not existing or publicly accessible on the Web. A person who is moving to another country and interested in renting a flat without knowing much about its environment is one example for a potential requester of human sensor tasks. Data contributed once to this human sensor web is henceforth available to the public via existing Web 2.0 platforms.
    Original languageEnglish
    Title of host publicationAGILE 2010
    Subtitle of host publicationproceedings of the 13th AGILE International Conference on Geographic Information Science : geospatial thinking, Guimaraes, Portugal
    EditorsM. Pianho, M.Y. Santos, H. Pundt
    Number of pages8
    Publication statusPublished - 11 May 2010
    Event13th AGILE Conference on Geographic Information Science, AGILE 2010: Geospatial Thinking - Guimaraes, Portugal
    Duration: 11 May 201014 May 2010
    Conference number: 13


    Conference13th AGILE Conference on Geographic Information Science, AGILE 2010
    Abbreviated titleAGILE


    • IR-101835
    • METIS-307543


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