POLOVINA, Simon, SCHERUHN, Hans-Jurgen and VAN ROSING, Mark (2017). Modularising the complex meta-models in enterprise systems using conceptual structures. In: SUGUMARAN, Vijayan, (ed.) Developments and trends in intelligent technologies and smart systems. Advances in Computational Intelligence and Robotics (ACIR) . Hershey, PA, IGI Global, 261-283. [Book Section]
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Polovina - Modularising the complex(VoR).pdf - Published Version
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Polovina - Modularising the complex(VoR).pdf - Published Version
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Abstract
The development of meta-models in Enterprise Modelling, Enterprise Engineering, and Enterprise
Architecture enables an enterprise to add value and meet its obligations to its stakeholders. This value
is however undermined by the complexity in the meta-models which have become difficult to visualise
thus deterring the human-driven process. These experiences have driven the development of layers and
levels in the modular meta-model. Conceptual Structures (CS), described as “Information Processing
in Mind and Machine”, align the way computers work with how humans think. Using the Enterprise
Information Meta-model Architecture (EIMA) as an exemplar, two forms of CS known as Conceptual
Graphs (CGs) and Formal Concept Analysis (FCA) are brought together through the CGtoFCA algorithm,
thereby mathematically evaluating the effectiveness of the layers and levels in these meta-models.
The work reveals the useful contribution that this approach brings in actualising the modularising of
complex meta-models in enterprise systems using conceptual structures.
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