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International Conference on Smart Homes and Health Telematics

ICOST 2016: Inclusive Smart Cities and Digital Health pp 271–282Cite as

Wellness Concepts Model Use and Effectiveness in Intelligent Knowledge Authoring Environment

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9677))

Abstract

Intelligent recommendation systems have high impact on users to adopt healthy routines towards the optimal health and wellbeing. The wellbeing recommendation and decision support systems need up-to-date wellness knowledge for effective recommendations to the users. Lack of evolutionary knowledge base is the most prominent barrier in the effectiveness of wellness recommendation system and its applications for assisting in healthier life choices. Domain experts can transform their knowledge into the evolutionary knowledge base of intelligent recommendation system, when they have access to an intelligent and supportive knowledge authoring environment. We have proposed a system that provides an intelligent and supportive knowledge authoring environment with the help of scalable wellness concepts model (WCM). WCM helps in contextual selection of concepts and their values set using Intelli-sense approach during the rule creation. The use of WCM, in knowledge authoring environment, enhances experts’ performance and decreases the chance of errors in wellness knowledge creation. It maximizes the concepts recall ratio of domain experts and provides guidance to some extent during rule creation process. We evaluated our system using user-centric evaluation by 6 domain experts. Each domain expert created 5 rules, containing 2 simple and 3 complex using the proposed system. The results suggested that the proposed system has user-satisfaction level up to 80.42 %.

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Acknowledgments

This work was supported by the Industrial Core Technology Development Program (10049079, Develop of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea) and This research was supported by the MSIP, Korea, under the G-ITRC support program (IITP-2015-R6812-15-0001) supervised by the IITP, and by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2015-H8501-15-1015) supervised by the IITP(Institute for Information & communications Technology Promotion).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Kyung Hee University, Seocheon-Dong, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 446-701, Republic of Korea

    Taqdir Ali & Sungyoung Lee

Authors
  1. Taqdir Ali
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  2. Sungyoung Lee
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Corresponding author

Correspondence to Sungyoung Lee .

Editor information

Editors and Affiliations

  1. Iowa State University, Ames, Iowa, USA

    Carl K. Chang

  2. University of Bologna, Bologna, Italy

    Lorenzo Chiari

  3. The University of Massachusetts, Lowell, Massachusetts, USA

    Yu Cao

  4. Huazhong Univ. of Science and Technology, Wuhan, China

    Hai Jin

  5. Institut Mines Télécom Paris/CNRS, Paris, France

    Mounir Mokhtari

  6. Institut Mines Télécom, Paris, France

    Hamdi Aloulou

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© 2016 Springer International Publishing Switzerland

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Ali, T., Lee, S. (2016). Wellness Concepts Model Use and Effectiveness in Intelligent Knowledge Authoring Environment. In: Chang, C., Chiari, L., Cao, Y., Jin, H., Mokhtari, M., Aloulou, H. (eds) Inclusive Smart Cities and Digital Health. ICOST 2016. Lecture Notes in Computer Science(), vol 9677. Springer, Cham. https://doi.org/10.1007/978-3-319-39601-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-39601-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39600-2

  • Online ISBN: 978-3-319-39601-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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