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

    Fingerprint

    Semantics
    Data integration
    Sensors
    Health
    Monitoring

    Keywords

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

    Cite this

    Katasonov, A., Leino, J., & Tuomisto, T. (2014). Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing. In ICDS 2014 : The Eighth International Conference on Digital Society (pp. 129-134). International Academy, Research, and Industry Association IARIA.
    Katasonov, Artem ; Leino, Jarkko ; Tuomisto, Timo. / Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing. ICDS 2014 : The Eighth International Conference on Digital Society. International Academy, Research, and Industry Association IARIA, 2014. pp. 129-134
    @inproceedings{476c5456e4734c6295a0119e4c3a2e10,
    title = "Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing",
    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.",
    keywords = "physical-cyber-social, smart home, data integration, assisted living",
    author = "Artem Katasonov and Jarkko Leino and Timo Tuomisto",
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    language = "English",
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    Katasonov, A, Leino, J & Tuomisto, T 2014, Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing. in ICDS 2014 : The Eighth International Conference on Digital Society. International Academy, Research, and Industry Association IARIA, pp. 129-134, Eighth International Conference on Digital Society, ICDS 2014, Barcelona, Spain, 23/03/14.

    Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing. / Katasonov, Artem; Leino, Jarkko; Tuomisto, Timo.

    ICDS 2014 : The Eighth International Conference on Digital Society. International Academy, Research, and Industry Association IARIA, 2014. p. 129-134.

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

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    AU - Leino, Jarkko

    AU - Tuomisto, Timo

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    PY - 2014

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    N2 - 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.

    AB - 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.

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    KW - data integration

    KW - assisted living

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    BT - ICDS 2014 : The Eighth International Conference on Digital Society

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    Katasonov A, Leino J, Tuomisto T. Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing. In ICDS 2014 : The Eighth International Conference on Digital Society. International Academy, Research, and Industry Association IARIA. 2014. p. 129-134