Modularising the complex meta-models in enterprise systems using conceptual structures

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.

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Link to published version:: 10.4018/978-1-5225-3686-4.ch013

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.

Item Type: Book Section
Additional Information: Series ISSN: 2327-0411
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: 10.4018/978-1-5225-3686-4.ch013
Related URLs:
Depositing User: Jill Hazard
Date Deposited: 26 Sep 2017 12:58
Last Modified: 26 Sep 2017 13:15
URI: http://shura.shu.ac.uk/id/eprint/16866

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