Skip to main content

Research Repository

See what's under the surface

Advanced Search

Blueprint of a semantic business process-aware Enterprise Information Architecture: The EIAOnt ontology

Ahmad, Mahmood; Odeh, Mohammed

Authors

Mahmood Ahmad mahmood.ahmad@uwe.ac.uk

Mohammed Odeh Mohammed.Odeh@uwe.ac.uk
Associate Professor in Software Engineering



Contributors

S Hammoudi
Editor

Jose Cordeiro
Editor

L A Maciaszek
Editor

J Filipe
Editor

Abstract

A robust design of enterprise information resources and their optimal usage can significantly enhance the information management (IM) capability of an enterprise. Enterprise Information Architecture (EIA) is a critical success factor for this objective and needs to be business process-aware in order to add value to the firm's IM capability and to obtain dynamic views of information through extended knowledge of business processes. We present the generic Enterprise Information Architecture Ontology (EIAOnt) that lays the foundation for the EIA design activity to use additional business information by incorporating the business process knowledge. We also present an approach that semantically derives EIA from Enterprise business process architecture (BPA) using Riva BPA methodology. A semantic representation of EIA through EIAOnt Ontology suggests a step forward to bridge the gap between business process architecture and enterprise information architecture.

Publication Date Jan 1, 2014
Peer Reviewed Peer Reviewed
Volume 190
Pages 520-539
Series Title Lecture Notes in Business Information Processing
Book Title Enterprise Information Systems, Revised Selected Papers
ISBN 9783319094915
APA6 Citation Ahmad, M., & Odeh, M. (2014). Blueprint of a semantic business process-aware Enterprise Information Architecture: The EIAOnt ontology. In J. Cordeiro, L. A. Maciaszek, J. Filipe, & S. Hammoudi (Eds.), Enterprise Information Systems, Revised Selected Papers, 520-539. Springer
Keywords enterprise information architecture, semantic information architecture, semantic information architecture, semantic information integration
Publisher URL http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-319-09491-5
;