Semantic Enterprise Architecture Management

Willy Chen, Claudia Hess, Melanie Langermeier, Janno Stuelpnagel, Philipp Diefenthaler


Enterprise architecture management (EAM) provides information about an enterprise and its information systems landscape for thorough analysis. Semantic technologies allow for integrating data sets from various relevant information sources within enterprises in a so-called EA repository, which serves as a comprehensive formal information base for EAM. We call this approach Semantic Enterprise Architecture Management, SEAM for short. We show how SEAM uses semantic technologies to bridge the heterogeneity between various data sets relevant for EAM, such as The Open Group Architecture Framework (TOGAF) models, Business Process Modeling Notation (BPMN) business process models and Service-oriented Architecture (SOA) models. Query answering and reasoning enable detailed analysis and consistency checks on the SEAM repository in order to discover complex dependencies and implicit knowledge.


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Paper Citation

in Harvard Style

Chen W., Hess C., Langermeier M., Stuelpnagel J. and Diefenthaler P. (2013). Semantic Enterprise Architecture Management . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8565-61-7, pages 318-325. DOI: 10.5220/0004445003180325

in Bibtex Style

author={Willy Chen and Claudia Hess and Melanie Langermeier and Janno Stuelpnagel and Philipp Diefenthaler},
title={Semantic Enterprise Architecture Management},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},

in EndNote Style

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Semantic Enterprise Architecture Management
SN - 978-989-8565-61-7
AU - Chen W.
AU - Hess C.
AU - Langermeier M.
AU - Stuelpnagel J.
AU - Diefenthaler P.
PY - 2013
SP - 318
EP - 325
DO - 10.5220/0004445003180325