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Ontology-based patterns for the integration of business processes and enterprise application architectures

Gacitua-Decar, Veronica and Pahl, Claus (2010) Ontology-based patterns for the integration of business processes and enterprise application architectures. In: Mentzas, G. and Friesen, A., (eds.) Semantic Enterprise Application Integration for Business Processes. Business Science Reference . IGI Global, pp. 36-60. ISBN 978-160566804-8

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Abstract

Increasingly, enterprises are using Service-Oriented Architecture (SOA) as an approach to Enterprise Application Integration (EAI). SOA has the potential to bridge the gap between business and technology and to improve the reuse of existing applications and the interoperability with new ones. In addition to service architecture descriptions, architecture abstractions like patterns and styles capture design knowledge and allow the reuse of successfully applied designs, thus improving the quality of software. Knowledge gained from integration projects can be captured to build a repository of semantically enriched, experience-based solutions. Business patterns identify the interaction and structure between users, business processes, and data. Specific integration and composition patterns at a more technical level address enterprise application integration and capture reliable architecture solutions. We use an ontology-based approach to capture architecture and process patterns. Ontology techniques for pattern definition, extension and composition are developed and their applicability in business process-driven application integration is demonstrated.

Item Type:Book Section
Refereed:Yes
Uncontrolled Keywords:Software Architecture; Software Development; Data Architecture; Ontology; Software Quality
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:IGI Global
Official URL:htttp://www.igi-global.com
Copyright Information:© 2010 IGI Global
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17087
Deposited On:26 Jun 2012 16:02 by Claus Pahl. Last Modified 10 Sep 2012 14:39

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