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Authors: Philipp Diefenthaler 1 and Bernhard Bauer 2

Affiliations: 1 Softplant GmbH and University of Augsburg, Germany ; 2 University of Augsburg, Germany

Keyword(s): Enterprise Modelling, Gap Analysis, Semantic Web.

Abstract: Enterprise architectures (EA) can be used for analyses in different ways and thus can support the decision making process that has to cope with an increasing number of changes, the clarification of the extent of changes and the complexity of these changes. A gap analysis is used in the context of EA to identify differences between two states of an EA. Formal models of an EA allow tool support and the visual representation of these models. This paper shows how a gap analysis can be performed using semantic web technologies on a high-level current and target state of an EA. With the results of the gap analysis and a detailed current state it is possible to show a migration path from the current state of the EA to a plan or target EA.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Diefenthaler, P. and Bauer, B. (2013). Gap Analysis in Enterprise Architecture using Semantic Web Technologies. In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-8565-61-7; ISSN 2184-4992, SciTePress, pages 211-220. DOI: 10.5220/0004439702110220

@conference{iceis13,
author={Philipp Diefenthaler. and Bernhard Bauer.},
title={Gap Analysis in Enterprise Architecture using Semantic Web Technologies},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2013},
pages={211-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004439702110220},
isbn={978-989-8565-61-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Gap Analysis in Enterprise Architecture using Semantic Web Technologies
SN - 978-989-8565-61-7
IS - 2184-4992
AU - Diefenthaler, P.
AU - Bauer, B.
PY - 2013
SP - 211
EP - 220
DO - 10.5220/0004439702110220
PB - SciTePress