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: Graphs in human and machine cognition: 24rd international conference on conceptual structures, ICCS 2019. Springer.

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Abstract

Enterprise Architecture (EA) enables organisations to align their information technology with their business needs. Layered EA De- velopment (LEAD) enhances EA by using meta-models made up of layered meta-objects, interconnected by semantic relations. Organisa- tions can use these meta-models to bene�t 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 il- lustration. The motivation for CG-FCA is stated. It is discovered that CG-FCA: a) identi�es 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 identi�ed.

Item Type: Book Section
Additional Information: ICCS 2019 : 24th International Conference on Conceptual Structures - Graphs in Human and Machine Cognition July 1st - July 4th, 2019, Marburg, Germany.
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 14 Mar 2019 12:46
Last Modified: 14 Mar 2019 12:46
URI: http://shura.shu.ac.uk/id/eprint/24239

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