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A Conceptual Framework for Large-scale Ecosystem Interoperability

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Conceptual Modeling (ER 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9381))

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Abstract

One of the most significant challenges in information system design is the constant and increasing need to establish interoperability between heterogeneous software systems at increasing scale. The automated translation of data between the data models and languages used by information ecosystems built around official or de facto standards is best addressed using model-driven engineering techniques, but requires handling both data and multiple levels of metadata within a single model. Standard modelling approaches are generally not built for this, compromising modelling outcomes. We establish the SLICER conceptual framework built on multilevel modelling principles and the differentiation of basic semantic relations that dynamically structure the model and can capture existing multilevel notions. Moreover, it provides a natural propagation of constraints over multiple levels of instantiation.

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Notes

  1. 1.

    Current industrial participants in the OGI Pilot include: Intergraph, Bentley, AVEVA, Worley-Parsons, for ISO15926; IBM, Rockwell Automation, Assetricity for MIMOSA; various Oil & Gas or power companies as potential end users.

  2. 2.

    While UML 2 supports power types in limited fashion, this example is restricted to more basic UML constructs. Power types are discussed in Sect. 3.

  3. 3.

    Except for criterion (2), which is necessary for multiple classification hierarchies.

  4. 4.

    E.g. Product category, model, and physical entity are grouped together.

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Correspondence to Markus Stumptner .

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Selway, M., Stumptner, M., Mayer, W., Jordan, A., Grossmann, G., Schrefl, M. (2015). A Conceptual Framework for Large-scale Ecosystem Interoperability. In: Johannesson, P., Lee, M., Liddle, S., Opdahl, A., Pastor López, Ó. (eds) Conceptual Modeling. ER 2015. Lecture Notes in Computer Science(), vol 9381. Springer, Cham. https://doi.org/10.1007/978-3-319-25264-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-25264-3_21

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  • Online ISBN: 978-3-319-25264-3

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