Generating Layered Enterprise Architectures with Conceptual Structures

BAXTER, Matt, POLOVINA, Simon, LAURIER, Wim and VON ROSING, Mark (2021). Generating Layered Enterprise Architectures with Conceptual Structures. In: BRAUN, Tanya, GEHRKE, Marcel, HANIKA, Tom and HERNANDEZ, Nathalie, (eds.) Graph-Based Representation and Reasoning. 26th International Conference on Conceptual Structures, ICCS 2021, Virtual Event, September 20–22, 2021, Proceedings. Lecture Notes in Computer Science, 12879 . Cham, Springer, 34-47.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-03...
Link to published version:: https://doi.org/10.1007/978-3-030-86982-3_3
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    Abstract

    Enterprise Architecture (EA) uses metamodels to document and align organisations’ business, information, and technology domains. This structure then enables these domains to work in harmony. Layered Enterprise Architecture Development (LEAD) builds upon EA by introducing layered metaobjects connected by semantic relations that make up LEAD’s layered metamodel. Previously, an algorithm was developed to elicit active semantic relations to achieve a view highlighting the metaobject dependencies. Subsequently, CG-FCA (Conceptual Graph and Formal Concept Analysis) and a LEAD case study were used to develop an enhanced algorithm that also generates the LEAD layers. The resulting layered FCA lattice shows a way to discover the hitherto hidden insights in LEAD, including the relationship between business and information technology.

    Item Type: Book Section
    Additional Information: Series ISSN: 0302-9743
    Uncontrolled Keywords: Business problem solving; Conceptual graphs and formal concept analysis; Layered enterprise architecture; Artificial Intelligence & Image Processing
    Identification Number: https://doi.org/10.1007/978-3-030-86982-3_3
    Page Range: 34-47
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 01 Nov 2022 15:07
    Last Modified: 02 Nov 2022 16:34
    URI: https://shura.shu.ac.uk/id/eprint/30795

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