Common Warehouse Metamodel Developer's Guide
Common Warehouse Metamodel Developer's Guide
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WS-Addressing, WS-BPEL, WS-Reliable Messaging and More
Ontology-based integration for relational databases
Proceedings of the 2006 ACM symposium on Applied computing
A generic solution for warehousing business process data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
BeMatch: a platform for matchmaking service behavior models
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Information integration in the enterprise
Communications of the ACM - Enterprise information integration: and other tools for merging data
Warehousing manufacturing data: a holistic process warehouse for advanced manufacturing analytics
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
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A profound analysis of all relevant business data in the company is necessary for optimizing business processes effectively. Current analyses typically exclusively run on business process execution data or on operational business data stored in a data warehouse. However, to achieve a more informative analysis and to fully optimize a company's business, a consolidation of all major business data sources is indispensable. Recent matching algorithms are insufficient for this task, since they are restricted either to schema or to process matching. Our demonstration presents BIAEditor that allows to annotate and match process variables and operational data models in order to perform such a global business impact analysis.