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
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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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T1 - Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing

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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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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