Underpinning layered enterprise architecture development with formal concept analysis

BAXTER, Matt, POLOVINA, Simon, KEMP, Neil and LAURIER, Wim (2023). Underpinning layered enterprise architecture development with formal concept analysis. In: Measuring Ontologies for Value Enhancement : Aligning Computing Productivity with Human Creativity for Societal Adaptation First International Workshop, MOVE 2020, Virtual Event, October 17–18, 2020, Revised Selected Papers. Communications in Computer and Information Science, 1694 . Springer, 101-113.

PDF (SHURA already contains one chapter from this book) 06 Layered Enteprise Architecture.pdf - Accepted Version Restricted to Repository staff only All rights reserved. Download (953kB)

Abstract

Organisations are fraught with myriad forms of disruption. Discrepancies in organisational language hinder response to change, giving rise to multiple inefficiencies and misunderstandings. Along with the added complexities arising from aligning technology with business needs, these issues undermine the organisation’s purpose. Layered Enterprise Architecture Development (LEAD) includes a periodic table of 91 meta-objects, semantic relations, and the resulting metamodel. LEAD thus provides an enterprise ontology for overcoming the issues and moves forward with the a) standardisation of language, and b) alignment of business and technology. Mathematical validity is added to the LEAD metamodel, as demonstrated by a novel algorithm applied to a case study. The algorithm leverages CG-FCA (Conceptual Graphs and Formal Concept Analysis), which can be brought to bear on any triple structure. LEAD’s characteristic layering is fully retained, with its lucid identification of organisational change levers.

Item Type:	Book Section
Additional Information:	Electronic ISSN: 1865-0937 Print ISSN: 1865-0929
Identification Number:	https://doi.org/10.1007/978-3-031-22228-3_6
Page Range:	101-113
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	31 Jan 2023 12:48
Last Modified:	11 Oct 2023 17:31
URI:	https://shura.shu.ac.uk/id/eprint/31347

Actions (login required)

View Item

Downloads

Publication Metrics