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  • User profile ontology to support personalization for e-coaching systems

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    Tjondronegoro290444-Published.pdf (1.272Mb)
    Author(s)
    Pratiwi, PS
    Xu, Y
    Li, Y
    Trost, SG
    Clanchy, KM
    Tjondronegoro, D
    Griffith University Author(s)
    Tjondronegoro, Dian W.
    Clanchy, Kelly M.
    Year published
    2018
    Metadata
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    Abstract
    In recent years, e-coaching systems have played an increasingly significant role in promoting a healthy lifestyle and positive behavior change. Research efforts have grown to provide more useful and effective e-coaching systems for research or other purposes. The implementation of e-coaching systems resulting from these efforts utilizes several techniques including Artificial Intelligence (AI) methodologies. This study proposes a personalised approach to support an e-coaching system that is tailored to the user’s characteristics. A key component of this system comprises an ontological model of the user profile. The objective ...
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    In recent years, e-coaching systems have played an increasingly significant role in promoting a healthy lifestyle and positive behavior change. Research efforts have grown to provide more useful and effective e-coaching systems for research or other purposes. The implementation of e-coaching systems resulting from these efforts utilizes several techniques including Artificial Intelligence (AI) methodologies. This study proposes a personalised approach to support an e-coaching system that is tailored to the user’s characteristics. A key component of this system comprises an ontological model of the user profile. The objective of this research was to propose an ontology that is able to collect and analyze the user related information as well as customize the profiles with the most appropriate coaching recommendation or materials. The ontology employed in this study was developed using the OWL (Ontology Web Language), a knowledge representation language for authoring ontologies. The effectiveness of this approach will be enhanced by filtering the information that was presented to the users.
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    Conference Title
    CEUR Workshop Proceedings
    Volume
    2482
    Publisher URI
    http://ceur-ws.org/Vol-2482/
    Copyright Statement
    © CIKM 2018 for the individual papers by the papers' authors & the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Artificial Intelligence and Image Processing
    Bioinformatics Software
    Publication URI
    http://hdl.handle.net/10072/390263
    Collection
    • Conference outputs

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