Analysis of enterprise architecture models with description logics reasoning and SPARQL

Abstract

Enterprise architecture (EA) model analysis can be defined as the application of property assessment criteria to EA models. Ontologies can be used to represent conceptual models, providing means for their integration, at the semantic and syntactic level, and allowing the application of computational inference to derive logical conclusions from the facts present in the models. As the commonly used EA modelling languages are conceptual, advantage can be taken of representing such conceptual models using ontologies. This paper explores and demonstrates the use of ontologies and associated techniques in the analysis of enterprise architecture models. Two techniques are used to this end: computational inference and the use of SPARQL. The aim is to demonstrate the possibilities brought by the use of these techniques in EA model analysis.