Gacitua-Decar, Veronica and Pahl, Claus ORCID: 0000-0002-9049-212X (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
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.
Metadata
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 15:02 by Claus Pahl . Last Modified 22 Jan 2021 17:41 |
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