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From Enterprise Concepts to Formal Concepts: A University Case Study

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10775))

Abstract

A business enterprise is more than its buildings, equipment or financial statements. Enterprise Architecture frameworks thus include a metamodel that attempts to bring together all the enterprise concepts including the visible entities into a unified conceptual structure. Using a case study based upon the institution of the authors, the effectiveness of this conceptual structure is explored in two fold. Firstly, a simple example using familiar concepts such as the physical location of the authors’ institution. Secondly, a more detailed example that includes the key enterprise concepts that currently exist within that institution. The metamodel is stated in Conceptual Graphs then mapped from these graphs’ triples into transitive Formal Concept binaries using the CGFCA software. Misalignments within the enterprise concepts discovered from the derived formal concepts are highlighted in both case examples, hence pointing towards the wider applicability of this approach.

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Notes

  1. 1.

    { } denote ‘plural’ referents, meaning they hold more than one referent. Here NSS-data may be one of many datasets that collectively provide KPIs of SHU’s strategy and shown simply to illustrate multiple cardinality of concepts. The Staff type label would also have a plural referent to depict the many staff that SHU employs. Plural referents are however not elaborated further for this simple case study’s purposes.

  2. 2.

    https://sourceforge.net/projects/cgfca/.

  3. 3.

    The tools tend to depict the models and metamodels in other notations such as UML (www.uml.org), but this underlying remark still holds true.

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Correspondence to Simon Polovina .

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Caine, J., Polovina, S. (2018). From Enterprise Concepts to Formal Concepts: A University Case Study. In: Croitoru, M., Marquis, P., Rudolph, S., Stapleton, G. (eds) Graph Structures for Knowledge Representation and Reasoning. GKR 2017. Lecture Notes in Computer Science(), vol 10775. Springer, Cham. https://doi.org/10.1007/978-3-319-78102-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-78102-0_5

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  • Publisher Name: Springer, Cham

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