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A Requirements-Driven Framework for Automatic Data Visualization

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2023, EMMSAD 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 479))

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Abstract

Data visualization is an essential method for analyzing big data. Regarding the increasing demands on data visualization generation and understanding, more professional knowledge and skills are required, which are difficult to meet in practice. In most cases, people visualize data using existing templates which might not fit their requirements. We believe that it is essential to establish the connections between users’ visualization requirements and visualization solutions. In this paper, we propose a four-layer visualization framework to systematically and automatically map user requirements to data visualization solutions. Specifically, the framework is designed based on typical visual features and attributes and establishes mappings based on their semantics. Based on this framework, we have implemented a web-based prototype, which can automate the generation of visualization solutions from user visualization requirements. To evaluate the framework, we conducted a case study with one participant using the developed prototype and received positive feedback and suggestions.

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Notes

  1. 1.

    https://www.domo.com/.

  2. 2.

    https://www.t-sciences.com/news/humans-process-visual-data-better.

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Acknowledgement

This work is partially supported by the Project of Beijing Municipal Education Commission (No. KM202110005025), the National Natural Science Foundation of China (No. 62162051), and the Beijing Natural Science Foundation Project (No. Z200002).

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Authors and Affiliations

  1. Beijing University of Technology, Beijing, China

    Tong Li & Yiting Wang

  2. Institut Polytechnique de Paris, Palaiseau, France

    Xiang Wei

Authors
  1. Tong Li
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  2. Xiang Wei
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  3. Yiting Wang
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Corresponding author

Correspondence to Tong Li .

Editor information

Editors and Affiliations

  1. University of Mannheim, Mannheim, Germany

    Han van der Aa

  2. TU Wien, Vienna, Austria

    Dominik Bork

  3. TU Wien, Vienna, Austria

    Henderik A. Proper

  4. Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

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Li, T., Wei, X., Wang, Y. (2023). A Requirements-Driven Framework for Automatic Data Visualization. In: van der Aa, H., Bork, D., Proper, H.A., Schmidt, R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2023 2023. Lecture Notes in Business Information Processing, vol 479. Springer, Cham. https://doi.org/10.1007/978-3-031-34241-7_21

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  • DOI: https://doi.org/10.1007/978-3-031-34241-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34240-0

  • Online ISBN: 978-3-031-34241-7

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