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A Configurable Semantic-Based Transformation Method towards Conceptual Models
Joint Authors
Wang, Tiexin
Cao, Jingwen
Tao, Chuanqi
Yang, Zhibin
Wu, Yi
Li, Bohan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Conceptual models are built to depict and analyze complex systems.
They are made of concepts and relationships among these concepts.
In a particular domain, conceptual models are helpful for different stakeholders to reach a clear and unified view of domain problems.
However, the process of building conceptual models is time-consuming, tedious, and expertise required.
To improve the efficiency of the building process, this paper proposes a configurable semantic-based (semi-) automatic conceptual model transformation methodology (SbACMT) that tries to reuse existing conceptual models to generate new models.
SbACMT contains three parts: (i) a configurable semantic relatedness computing method building on the structured linguistic knowledge base “ConceptNet” (SRCM-CNet), (ii) a specific meta-model, which follows the Ecore standard, defines the rules of applying SRCM-CNet to different conceptual models to automatically detect transformation mappings, and (iii) a multistep matching and transformation process that employs SRCM-CNet.
A case study is carried out to detail the working mechanism of SbACMT.
Furthermore, through a systematically analysis of this case study, we validate the performance of SbACMT.
We prove that SbACMT can support the automatic transformation process of conceptual models (e.g., class diagrams).
The scalability of SbACMT can be improved by adapting the meta-model and predefined syntax transformation rules.
American Psychological Association (APA)
Wang, Tiexin& Cao, Jingwen& Tao, Chuanqi& Yang, Zhibin& Wu, Yi& Li, Bohan. 2020. A Configurable Semantic-Based Transformation Method towards Conceptual Models. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1153326
Modern Language Association (MLA)
Wang, Tiexin…[et al.]. A Configurable Semantic-Based Transformation Method towards Conceptual Models. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1153326
American Medical Association (AMA)
Wang, Tiexin& Cao, Jingwen& Tao, Chuanqi& Yang, Zhibin& Wu, Yi& Li, Bohan. A Configurable Semantic-Based Transformation Method towards Conceptual Models. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1153326
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153326