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A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns

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Intelligent Information and Database Systems (ACIIDS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13996))

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Abstract

The paper presents the method for describing data modeling patterns. Data modeling patterns are reusable, general solutions providing the abstraction over the domain problem, which is modeled, retaining the semantic structure of the solution. The proposed method consists of three phases: conceptualization, specification and implementation. The specification phase is based on the ontological concept system Conceptual Layer of Metamodels. The method has been verified by a case study, the Generalized Network modeling pattern and its implementation in Association-Oriented Metamodel.

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Authors and Affiliations

  1. Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Jodłowiec

Authors
  1. Marcin Jodłowiec
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Correspondence to Marcin Jodłowiec .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Siridech Boonsang

  3. Iwate Prefectural University Iwate, Iwate, Japan

    Hamido Fujita

  4. Wroclaw University of Science and Technology, Wrocław, Poland

    Bogumiła Hnatkowska

  5. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  6. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Kitsuchart Pasupa

  7. Malaysia Japan International Institute of Technology, Kuala Lumpur, Malaysia

    Ali Selamat

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Jodłowiec, M. (2023). A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns. In: Nguyen, N.T., et al. Intelligent Information and Database Systems. ACIIDS 2023. Lecture Notes in Computer Science(), vol 13996. Springer, Singapore. https://doi.org/10.1007/978-981-99-5837-5_2

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  • DOI: https://doi.org/10.1007/978-981-99-5837-5_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5836-8

  • Online ISBN: 978-981-99-5837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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