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Evidence-Based Languages for Conceptual Data Modelling Profiles

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Advances in Databases and Information Systems (ADBIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9282))

Abstract

To improve database system quality as well as runtime use of conceptual models, many logic-based reconstructions of conceptual data modelling languages have been proposed in a myriad of logics. They each cover their features to a greater or lesser extent and are typically motivated from a logic viewpoint. This raises questions such as what would be an evidence-based common core and what is the optimal language profile for a conceptual modelling language family. Based on a common metamodel of UML Class Diagrams (v2.4.1), ER/EER, and ORM/2’s static elements, a set of 101 conceptual models, and availing of computational complexity insights from Description Logics, we specify these profiles. There is no known DL language that matches exactly the features of those profiles and the common core is small (in the tractable \(\mathcal {ALNI}\)). Although hardly any inconsistencies can be derived with the profiles, it is promising for scalable runtime use of conceptual data models.

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Acknowledgments

This work is based upon research supported by the National Research Foundation of South Africa (Project UID90041) and the Argentinean Ministry of Science and Technology.

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Authors and Affiliations

  1. Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, Bahía Blanca, Argentina

    Pablo Rubén Fillottrani

  2. Comisión de Investigaciones Científicas, La Plata, Provincia de Buenos Aires, Argentina

    Pablo Rubén Fillottrani

  3. Department of Computer Science, University of Cape Town, Cape Town, South Africa

    C. Maria Keet

Authors
  1. Pablo Rubén Fillottrani
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  2. C. Maria Keet
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Correspondence to C. Maria Keet .

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Editors and Affiliations

  1. Poznan University of Technology, Poznán, Poland

    Morzy Tadeusz

  2. INRIA, Montpellier, France

    Patrick Valduriez

  3. Teleport 2, LIAS/ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

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Fillottrani, P.R., Keet, C.M. (2015). Evidence-Based Languages for Conceptual Data Modelling Profiles. In: Tadeusz, M., Valduriez, P., Bellatreche, L. (eds) Advances in Databases and Information Systems. ADBIS 2015. Lecture Notes in Computer Science(), vol 9282. Springer, Cham. https://doi.org/10.1007/978-3-319-23135-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-23135-8_15

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