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Conceptual Modeling: Enhancement Through Semiotics

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Conceptual Modeling (ER 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10650))

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Abstract

Conceptual modeling uses languages to represent the real world. Semiotics, as a general theory of signs and symbols, deals with the study of languages and is comprised of syntax, semantics, and pragmatics. Pragmatics includes the explicit representation of the intentions of users. A common assumption is that all levels of database design (user, conceptual, logical, and physical) can be modeled using the same language. However, languages at the conceptual level are often enhanced by concepts that attempt to capture inherent pragmatics. This research proposes that concepts from semiotics can provide the background needed to understand an application. Specifically, pragmatics and semantics are considered at both the user and conceptual level, based on proposed constraints.

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Acknowledgements

This research was supported by the J. Mack Robinson College of Business, Georgia State University. Thanks to Melinda McDaniel for her assistance.

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Authors and Affiliations

  1. Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, Atlanta, GA, USA

    Veda C. Storey

  2. Department of Computer Science, Christian-Albrechts-University, Kiel, Germany

    Bernhard Thalheim

Authors
  1. Veda C. Storey
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  2. Bernhard Thalheim
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Corresponding author

Correspondence to Bernhard Thalheim .

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Editors and Affiliations

  1. University of Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Giancarlo Guizzardi

  3. Victoria University of Wellington, Wellington, New Zealand

    Hui Ma

  4. Valencia University of Technology, Valencia, Spain

    Oscar Pastor

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Storey, V.C., Thalheim, B. (2017). Conceptual Modeling: Enhancement Through Semiotics. In: Mayr, H., Guizzardi, G., Ma, H., Pastor, O. (eds) Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10650. Springer, Cham. https://doi.org/10.1007/978-3-319-69904-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-69904-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69903-5

  • Online ISBN: 978-3-319-69904-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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