Scalable Ontological EAI and e-Business Integration
Abstract:
Integration of enterprise applications (EAI) and e-business integration are time-consuming and expensive. This thesis proposes pattern mining to determine identical object classes. Processes are integrated based on declared integration goals and known software behavior. A model-driven approach ensures consistent use of behavioral knowledge from development in integration. The contributions were applied to the CCTS Modeler Warp 10 and SAP NetWeaver CE (composition environment) developed at SAP.
| Zugehörige Institution(en) am KIT | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2010 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-86644-521-5 urn:nbn:de:0072-182643 KITopen-ID: 1000018264 |
| Verlag | KIT Scientific Publishing |
| Umfang | XVI, 209 S. |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Wirtschaftswissenschaften (WIWI) |
| Institut | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Prüfungsdaten | 17.07.2009 |
| Schlagwörter | data integration, business process integration, frequent itemset mining, model-driven software development, semantic Web services |
| Relationen in KITopen | |
| Referent/Betreuer | Studer, R. |