Using conceptual structures in enterprise architecture to develop a new way of thinking and working for organisations

POLOVINA, Simon and VON ROSING, Mark (2018). Using conceptual structures in enterprise architecture to develop a new way of thinking and working for organisations. In: CHAPMAN, Peter, ENDRES, Dominik and PERNELLE, Nathalie, (eds.) Graph-based representation and reasoning : 23rd International Conference on Conceptual Structures, ICCS 2018, Edinburgh, UK, June 20-22, 2018, Proceedings. Lecture Notes in Artificial Intelligence . Springer, 176-190.

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Abstract

Enterprise Architecture (EA) is a discipline that provides generic patterns that any organisation can reuse throughout its own business, informatics and technical components. However, EA’s current way of thinking and working to achieve this aim is not standardised. EA thus continues to “reinvent the wheel” that causes mistakes or wastes resources on rediscovering what should already be known. We, therefore, represent the specific business, information and technology meta-models as patterns that can be fully reintegrated in one repeatable meta-model for the whole organisation. The outcome is a new agile way of thinking and working, highlighted by how EA works better in enterprise layers, sub-layers and levels of abstraction. To test the meta-models, two forms of Conceptual Structures known as Conceptual Graphs (CGs) and Formal Concept Analysis (FCA) are brought together through the CGtoFCA algorithm. The algorithm identifies how the layered meta-models can share meaning and truth and without having to recombine them into one large, unwieldy meta-model as the repeatable structure.

Item Type: Book Section
Additional Information: Lecture Notes in Artificial Intelligence (ISSN: 0302-9743) is a subseries of Lecture Notes in Computer Science (ISSN: 0302-9743). Paper presented at 23rd International Conference on Conceptual Structures, June 20th-22nd 2018, Edinburgh, Scotland.
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: https://doi.org/10.1007/978-3-319-91379-7_14
Related URLs:
Depositing User: Jill Hazard
Date Deposited: 10 May 2018 10:23
Last Modified: 16 Nov 2018 11:33
URI: http://shura.shu.ac.uk/id/eprint/21101

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