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

摘要

The development of meta-models in Enterprise Modelling, Enterprise Engineering, and EnterpriseudArchitecture enables an enterprise to add value and meet its obligations to its stakeholders. This valueudis however undermined by the complexity in the meta-models which have become difficult to visualiseudthus deterring the human-driven process. These experiences have driven the development of layers andudlevels in the modular meta-model. Conceptual Structures (CS), described as “Information Processingudin Mind and Machine”, align the way computers work with how humans think. Using the EnterpriseudInformation Meta-model Architecture (EIMA) as an exemplar, two forms of CS known as ConceptualudGraphs (CGs) and Formal Concept Analysis (FCA) are brought together through the CGtoFCA algorithm,udthereby mathematically evaluating the effectiveness of the layers and levels in these meta-models.udThe work reveals the useful contribution that this approach brings in actualising the modularising ofudcomplex meta-models in enterprise systems using conceptual structures.