Enhancing layered enterprise architecture development through conceptual structures

POLOVINA, Simon, VON ROSING, Mark, LAURIER, Wim and ETZEL, Georg (2019). Enhancing layered enterprise architecture development through conceptual structures. In: ENDRES, Dominik, ALAM, Mehwish and ŞOTROPA, Diana, (eds.) Graph-based representation and reasoning: 24th International Conference on Conceptual Structures, ICCS 2019, Marburg, Germany, July 1–4, 2019, proceedings. Lecture Notes in Computer Science, 11530 . Cham, Springer.

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Link to published version:: https://doi.org/10.1007/978-3-030-23182-8_11


Enterprise Architecture (EA) enables organisations to align their information technology with their business needs. Layered EA Development (LEAD) enhances EA by using meta-models made up of layered meta-objects, interconnected by semantic relations. Organisations can use these meta-models to benefit from a novel, ontology-based, object-oriented way of EA thinking and working. Furthermore, the meta-models are directed graphs that can be read linearly from a Top Down View (TDV) or a Bottom Up View (BUV) perspective. Conceptual Structures through CG-FCA (where CG refers to Conceptual Graph and FCA to Formal Concept Analysis) is thus used to traverse the TDV and BUV directions using the LEAD Industry 4.0 meta-model as an illustration. The motivation for CG-FCA is stated. It is discovered that CG-FCA: (a) identifies any unwanted cycles in the ‘top-down’ or ‘bottom-up’ directions, and (b) conveniently arranges the many pathways by which the meta-models can be traversed and understood in a Formal Concept Lattice. Through the LEAD meta-model exemplar, the wider appeal of CG-FCA and directed graphs are also identified.

Item Type: Book Section
Additional Information: The final authenticated version is available online at https://doi.org/10.1007/978-3-030-23182-8_11
Identification Number: https://doi.org/10.1007/978-3-030-23182-8_11
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 14 Mar 2019 12:46
Last Modified: 18 Mar 2021 03:39
URI: https://shura.shu.ac.uk/id/eprint/24239

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