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A hierarchical ontology context model for work-based learning

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Abstract

Context modelling involves a) characterizing a situation with related information, and b) dealing and storing the information in a computer-understandable form. It is the keystone to enable a system to possess the perception capacity and adapt its functionality properly for different situations. However, a context model focusing on the characteristics of work-based learning is not well studied by pioneering researchers. For addressing this issue, in this work we firstly analyze several existing context models to identify the essentials of context modelling, whereby a hierarchical ontology context model is proposed to characterize work-based learning. Subsequently, we present the application of the proposed model in work-based learning scenario to provide adapted learning supports to professionals. Hence, this work has significance in both theory and practice.

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Authors and Affiliations

  1. Sino-French Engineer School, Beihang University, Beijing, 100191, China

    Chuantao Yin & Bingxue Zhang

  2. Research Institute of Beihang University in Shenzhen, Shenzhen, 518057, China

    Chuantao Yin

  3. LIRIS Lab, Ecole Centrale de Lyon, Ecully, 69134, France

    Bingxue Zhang & Betrand David

  4. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Zhang Xiong

Authors
  1. Chuantao Yin
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  2. Bingxue Zhang
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  3. Betrand David
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  4. Zhang Xiong
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Corresponding author

Correspondence to Chuantao Yin.

Additional information

Chuantao Yin received his PhD on computer science in 2010 from Ecole Centrale de Lyon, France. He works as assistant professor in Sino-French engineering school at Beihang University in China. His research activities are focused on human learning, mobile learning, smart city, etc.

Bingxue Zhang is currently PhD candidate co-tutored by Beihang University, China and Ecole Centrale de Lyon, France. She mainly works on the learning technologies assisted by computer in professional situations.

Bertrand David is professor of computer science at Ecole Centrale de Lyon, France. He is the leader of the team Silex (Supporting Interaction and Learning by Experience), of LIRIS Lab. His research interest is on human learning, human computer interaction, collaborative work, etc.

Zhang Xiong received his BS from Harbin Engineering University, China in 1982. He received his MS from Beihang University, China in 1985. He is a professor and PhD supervisor in the School of Computer Science and Engineering, Beihang University. He is working on computer vision, wireless sensor networks, information security, and data vitalization.

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Yin, C., Zhang, B., David, B. et al. A hierarchical ontology context model for work-based learning. Front. Comput. Sci. 9, 466–473 (2015). https://doi.org/10.1007/s11704-015-4200-4

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  • DOI: https://doi.org/10.1007/s11704-015-4200-4

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