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Study on Method of Extraction and Clustering of Model Construction Style

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Intelligent Networked Things (CINT 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1714))

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Abstract

With the development of modeling and simulation technology in various fields, more and more modeling and simulation software are springing up. The diversity and complexity of software make the integration of heterogeneous models a significant challenge. The purpose of this paper is to address the issue of characteristics extraction for heterogeneous models in multi-fields. In this paper, the characteristics of heterogeneous models are abstracted into Model Construction Style (MCS), and a method of extraction and clustering of model construction style is presented. In this process, the general features of the model are extracted to form the model template, namely MCS, and model templates are clustered to establish the model construction style. The results show that this method can abstract the characteristics of multi-domain heterogeneous models and support the construction of a heterogeneous model style library.

Supported by the National Key R &D Program of China (No. 2018YFB1701600).

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Acknowledgement

This work is supported by the National Key R &D Program of China (No. 2018YFB1701600).

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Authors and Affiliations

  1. Computer School, Beijing Information Science and Technology University, Beijing, 100101, China

    Nana Shen, Chun Zhao & Hao Yang

Authors
  1. Nana Shen
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  2. Chun Zhao
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  3. Hao Yang
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Corresponding author

Correspondence to Chun Zhao .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Lin Zhang

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Wensheng Yu

  3. Xinjiang University, Xinjiang, China

    Haijun Jiang

  4. Beihang University, Beijing, China

    Yuanjun Laili

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Shen, N., Zhao, C., Yang, H. (2022). Study on Method of Extraction and Clustering of Model Construction Style. In: Zhang, L., Yu, W., Jiang, H., Laili, Y. (eds) Intelligent Networked Things. CINT 2022. Communications in Computer and Information Science, vol 1714. Springer, Singapore. https://doi.org/10.1007/978-981-19-8915-5_31

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  • DOI: https://doi.org/10.1007/978-981-19-8915-5_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8914-8

  • Online ISBN: 978-981-19-8915-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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