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A Knowledge Representation Model for Studying Knowledge Creation, Usage, and Evolution

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Diversity, Divergence, Dialogue (iConference 2021)

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Abstract

A knowledge representation model is proposed to facilitate studies on knowledge creation, usage, and evolution. The model uses a three-layer network structure to capture citation relationships among papers, the internal concept structure within individual papers, and the knowledge landscape in a domain. The resulting model can not only reveal the path and direction of knowledge diffusion, but also detail the content of knowledge transferred between papers, new knowledge added, and changing knowledge landscape in a domain. A pilot experiment is carried out using the PMC-OA dataset in the biomedical field. A case study on one knowledge evolution chain of Alzheimer’s Disease demonstrates the use of the model in revealing knowledge creation, usage, and evolution. Initial findings confirm the feasibility of the model for its purpose. Limitations of the study are discussed. Future work will try to address the recognized limitations and apply the model to large scale automated analysis to understand the knowledge production process.

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Acknowledgements

This study was partially funded by the National Natural Science Foundation of China (NSFC) Grant Nos. 71804135 and 71921002.

Author information

Authors and Affiliations

  1. School of Information Management, Wuhan University, Wuhan, Hubei, China

    Zhentao Liang, Fei Liu & Jin Mao

  2. Center for Studies of Information Resources, Wuhan University, Wuhan, Hubei, China

    Jin Mao

  3. School of Library and Information Studies, University of Oklahoma, Norman, OK, 73019, USA

    Kun Lu

Authors
  1. Zhentao Liang
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  2. Fei Liu
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  3. Jin Mao
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  4. Kun Lu
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Corresponding author

Correspondence to Kun Lu .

Editor information

Editors and Affiliations

  1. Humboldt University of Berlin, Berlin, Germany

    Katharina Toeppe

  2. Renmin University of China, Beijing, China

    Hui Yan

  3. The University of Hong Kong, Hong Kong, Hong Kong

    Samuel Kai Wah Chu

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Liang, Z., Liu, F., Mao, J., Lu, K. (2021). A Knowledge Representation Model for Studying Knowledge Creation, Usage, and Evolution. In: Toeppe, K., Yan, H., Chu, S.K.W. (eds) Diversity, Divergence, Dialogue. iConference 2021. Lecture Notes in Computer Science(), vol 12645. Springer, Cham. https://doi.org/10.1007/978-3-030-71292-1_9

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  • DOI: https://doi.org/10.1007/978-3-030-71292-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71291-4

  • Online ISBN: 978-3-030-71292-1

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