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- 111 creator bernhard-bauer.
- 111 creator maximilan-osenberg.
- 111 creator melanie-langermeier.
- 111 type InProceedings.
- 111 label "Using semantic web technologies for enterprise architecture analysis".
- 111 sameAs 111.
- 111 abstract "Enterprise Architecture (EA) models are established means for decision makers in organizations. They describe the business processes, the application landscape and IT infrastructure as well as the relationships between those layers. Current research focuses merely on frameworks, modeling and documentation approaches for enterprise architectures. But once these models are established, methods for their analysis are rare. In this paper we propose the use of semantic web technologies in order to represent the enterprise architecture and perform analyses. We present an approach how to transform an existing EA model into an ontology. Using this knowledge base, simple questions can be answered with the query language SPARQL. The major benefits of semantic web technologies can be found, when defining and applying more complex analysis. Change impact analysis are important to estimate the effects and costs of a change to an EA model element. To show the benefits of semantic web technologies for EA, we implemented an approach to change impact analysis and executed it within a case study.".
- 111 hasAuthorList authorList.
- 111 isPartOf proceedings.
- 111 keyword "Analysis".
- 111 keyword "Change impact".
- 111 keyword "Enterprise architecture".
- 111 keyword "Ontologies".
- 111 keyword "SPARQL".
- 111 title "Using semantic web technologies for enterprise architecture analysis".