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Multi-language description text automatic generation of BPMN process model

Published: 02 November 2018 Publication History

Abstract

BPMN abstractly expresses the complex structure and the role relationships of business process in a standardized way. Therefore, participants can achieve a consistent understanding of the process. However, there exist communication gap between domain expert and system analyst, as domain expert cannot fully understand process model and judge the rationality of the process model. The existing work only proposed single-language description generation of process model, considering that different domain experts may have different languages, we propose a multi-language description text automatic generation approach of BPMN process model. In the experiment, we evaluate the description text in term of completeness, consistency, complexity and readability.

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  1. Multi-language description text automatic generation of BPMN process model

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    cover image ACM Other conferences
    ICCIP '18: Proceedings of the 4th International Conference on Communication and Information Processing
    November 2018
    326 pages
    ISBN:9781450365345
    DOI:10.1145/3290420
    • Conference Chairs:
    • Jalel Ben-Othman,
    • Hui Yu,
    • Program Chairs:
    • Herwig Unger,
    • Masayuki Arai
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 November 2018

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    Author Tags

    1. BPMN
    2. multi-language
    3. process model
    4. text generation

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    • Research-article

    Funding Sources

    • the Taishan Scholar Climbing Program of Shandong Province, and SDUST Research Fund
    • the Humanities and Social Science Research Project of the Ministry of Education
    • NSFC
    • Sci. & Tech. Development Fund of Shandong Province of China

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    ICCIP 2018

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    Overall Acceptance Rate 61 of 301 submissions, 20%

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