Thönssen, Barbara

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Barbara
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Thönssen, Barbara

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A new paradigm for the continuous alignment of business and IT: combining enterprise architecture modelling and enterprise ontology

2016, Hinkelmann, Knut, Gerber, Aurona, Karagiannis, Dimitris, Thönssen, Barbara, van der Merwe, Alta, Woitsch, Robert

The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today’s enterprises. The ability to react timeously to continuous and unexpected change is called agility and is an essential quality of the modern enterprise. Being agile has consequences for the engineering of enterprises and enterprise information systems. In this paper a new paradigm for next generation enterprise information systems is proposed, which shifts the development approach of model-driven engineering to continuous alignment of business and IT for the agile enterprise. It is based on a metamodelling approach, which supports both human-interpretable graphical enterprise architecture and machine-interpretable enterprise ontologies. Furthermore, next generation enterprise information systems are described, which embed modelling tools and algorithms for model analysis.

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Connecting Enterprise Architecture and Information Objects Using an Enterprise Ontology

2013-11, Hinkelmann, Knut, Maise, Michaela, Thönssen, Barbara, van der Merwe, Alta, Gerber, Aurona, de la Harpe, Andre

In this paper we show how semantic metadata – derived from the enterprise architecture description - can improve both the exploitation of information in the operative business and the continuous alignment of information systems with the business. ArchiMEO, a formal representation of the ArchiMate framework, was applied to model selected parts of a large Swiss company, including metadata of concrete information objects stored in various applications. The evaluation of our approach clearly gave evidence that linking an enterprise ontology with operational databases is beneficiary: it provides an integrated view and management of enterprise entities spread over various data stores, represented in different ways and levels of granularity. Furthermore, because of its inference capabilities, when used as metadata encoding scheme an enterprise ontology can provide context-sensitive access to relevant information.