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Exploring an Open Data Initiative Ontology for Shareable Smart Environment Experimental Datasets

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Ubiquitous Computing and Ambient Intelligence (UCAmI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10586))

Abstract

The Open Data Initiative (ODI) has previously been proposed as a framework for the collection, annotation, management and sharing of data gathered through research in pervasive health and smart environment systems. It includes the provision of open access protocols for the conduct of experiments and a standard format for the exchange of datasets. In this paper we formalize the structure of the ODI repository through development of an ontology which seeks to unify the representation of ODI objects, experimental protocols, and event logs. An XML-based standards approach to storing event logs, using eXtensible Event Stream (XES) enables data sharing, manipulation and ontology integration. Typical usage scenarios are presented based on published experimental data to validate the concepts of the presented work. Related SPARQL queries are used to illustrate the outputs which can be derived. Based on these initial results, we outline a system architecture for prototyping further ODI related work.

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Acknowledgements

Invest Northern Ireland is acknowledged for partially supporting this project under the Competence Centre Programme Grant RD0513853 - Connected Health Innovation Centre. This work was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health.

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Authors and Affiliations

  1. School of Computing and Mathematics, Ulster University, Newtownabbey, Northern Ireland, UK

    Ian McChesney, Chris Nugent, Joseph Rafferty & Jonathan Synnott

Authors
  1. Ian McChesney
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  2. Chris Nugent
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  3. Joseph Rafferty
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  4. Jonathan Synnott
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Corresponding author

Correspondence to Ian McChesney .

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Editors and Affiliations

  1. University of Santiago Chile, Santiago, Chile

    Sergio F. Ochoa

  2. Villanova University, Villanova, Pennsylvania, USA

    Pritpal Singh

  3. University of Castilla La Mancha, Ciudad Real, Spain

    José Bravo

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McChesney, I., Nugent, C., Rafferty, J., Synnott, J. (2017). Exploring an Open Data Initiative Ontology for Shareable Smart Environment Experimental Datasets. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_42

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  • DOI: https://doi.org/10.1007/978-3-319-67585-5_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67584-8

  • Online ISBN: 978-3-319-67585-5

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