Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing

Artem Katasonov, Jarkko Leino, Timo Tuomisto

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

    Abstract

    To deliver on their promises, Physical-Cyber-Social systems must semantically integrate a wide range of heterogeneous multimodal observations, including physical sensor measurements, human self-observations, social observations, and demographic observations. In this paper, we address the problem of collecting and combining sensor measurements and selfobservations. We describe an architecture, main features of which are a triple-space-based approach to data integration and a novel approach utilizing instant messaging for eliciting selfobservations. A specific application domain considered is health-related monitoring of elderly persons at their homes.
    Original languageEnglish
    Title of host publicationICDS 2014 : The Eighth International Conference on Digital Society
    PublisherInternational Academy, Research, and Industry Association IARIA
    Pages129-134
    ISBN (Print)978-1-61208-324-7
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventEighth International Conference on Digital Society, ICDS 2014 - Barcelona, Spain
    Duration: 23 Mar 201427 Mar 2014

    Conference

    ConferenceEighth International Conference on Digital Society, ICDS 2014
    Abbreviated titleICDS 2014
    CountrySpain
    CityBarcelona
    Period23/03/1427/03/14

    Keywords

    • physical-cyber-social
    • smart home
    • data integration
    • assisted living

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