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Developing Conceptual Modeling Tools Using a DSL

  • Conference paper
Knowledge Science, Engineering and Management (KSEM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8793))

Abstract

There are multiple ways one can pursue when developing conceptual modeling tools. The most common are the ones where modeling tool engineers implement by using multiple graphical editors and various programming languages to realize the requirements of a modeling method. In this case, implementing artifacts such as abstract and concrete syntax or algorithms is linked to a specific technological platform. This motivated us to develop a DSL for this area, which entailed designing, specifying and implementing it. In this paper we propose a domain-specific language (MM-DSL) based on a metamodeling approach, which gives us the ability to be technology independent. With MM-DSL a specification for a conceptual modeling tool is programmed on an abstract level. The code can be compiled and executed on different metamodeling platforms. We tested the MM-DSL 1.0 using a prototype-based evaluation.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of Vienna, Austria

    Niksa Visic & Dimitris Karagiannis

Authors
  1. Niksa Visic
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  2. Dimitris Karagiannis
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Knowledge Engineering Research Group, University of Vienna, Währingerstr. 29, 1090, Vienna, Austria

    Robert Buchmann

  2. Faculty of Engineering, Research Center for Sustainable Products and Processes, Lucian Blaga University of Sibiu, 10 Victoriei Blv., 550024, Sibiu, Romania

    Claudiu Vasile Kifor

  3. Department of Computer Science, Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Haidian District, 100044, Beijing, China

    Jian Yu

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© 2014 Springer International Publishing Switzerland

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Visic, N., Karagiannis, D. (2014). Developing Conceptual Modeling Tools Using a DSL. In: Buchmann, R., Kifor, C.V., Yu, J. (eds) Knowledge Science, Engineering and Management. KSEM 2014. Lecture Notes in Computer Science(), vol 8793. Springer, Cham. https://doi.org/10.1007/978-3-319-12096-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-12096-6_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12095-9

  • Online ISBN: 978-3-319-12096-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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