research-article

BIAEditor: matching process and operational data for a business impact analysis

Authors:

Sylvia Radeschütz,

Florian Niedermann,

Wolfgang BischoffAuthors Info & Claims

EDBT '10: Proceedings of the 13th International Conference on Extending Database Technology

Pages 705 - 708

https://doi.org/10.1145/1739041.1739132

Published: 22 March 2010 Publication History

Abstract

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.

References

[1]

Oracle JDeveloper 11g. Available: http://oracle.com/technology/software/products/jdev/.

[2]

Pellet reasoner. Avail.: http://clarkparsia.com/pellet/.

[3]

IBM Infosphere Warehouse. Available: http://www-01.ibm.com/software/data/infosphere/warehouse/.

[4]

W3C Recommendation: Semantic Annotations for WSDL and XML Schema. Available: http://www.w3.org/TR/sawsdl/.

[5]

W3C Submission: Web Service Modeling Language. Available: http://www.w3.org/Submission/WSML/.

[6]

W3C Recommendation: Web Ontology Language. Available: http://www.w3.org/TR/owl-ref/, 2004.

[7]

OASIS Standard: Web Services Business Process Execution Language Version 2.0. Available: http://docs.oasis-open.org/wsbpel, 2007.

[8]

P. A. Bernstein and L. M. Haas. Information integration in the enterprise. Commun. ACM, 51(9):72--79, 2008.

Digital Library

[9]

F. Casati, M. Castellanos, U. Dayal, and N. Salazar. A generic solution for warehousing business process data. In Proc. VLDB Conf., 2007.

Digital Library

[10]

J. C. Corrales, D. Grigori, M. Bouzeghoub, and J. E. Burbano. Bematch: a platform for matchmaking service behavior models. In Proc. EDBT Conf., 2008.

Digital Library

[11]

D. Dou and P. LePendu. Ontology-based integration for relational databases. In Proc. ACM SAC, 2006.

Digital Library

[12]

J. Poole, D. Chang, D. Tolbert, and D. Mellor. Common Warehouse Metamodel Developer's Guide. Wiley, January 2003.

Digital Library

[13]

S. Radeschütz and B. Mitschang. An annotation approach for the matching of process variables and operational business data models. In Proc. CAINE Conference, 2008.

[14]

S. Radeschütz, B. Mitschang, and F. Leymann. Matching of process data and operational data for a deep business analysis. In Proc. I-ESA Conf., 2008.

[15]

S. Radeschütz, F. Niedermann, and B. Mitschang. Ein Annotationsansatz zur Unterstützung einer ganzheitlichen Geschäftsanalyse. In Proc. DW Conf., 2008.

[16]

E. Rahm and P. A. Bernstein. A survey of approaches to automatic schema matching. VLDB Journal, 2001.

Digital Library

[17]

S. Weerawarana, F. Curbera, F. Leymann, T. Storey, and D. F. Ferguson. Web Services Platform Architecture. Prentice Hall PTR, 2005.

Digital Library

Cited By

Gröger CSchlaudraff JNiedermann FMitschang B(2012)Warehousing manufacturing dataProceedings of the 14th international conference on Data Warehousing and Knowledge Discovery10.1007/978-3-642-32584-7_12(142-155)Online publication date: 3-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-32584-7_12
Radeschutz SVrhovnik MSchwarz HMitschang B(2011)Exploiting the symbiotic aspects of process and operational data for optimizing business processes2011 IEEE International Conference on Information Reuse & Integration10.1109/IRI.2011.6009532(117-122)Online publication date: Aug-2011
https://doi.org/10.1109/IRI.2011.6009532
Niedermann FPavel AMitschang B(2011)Beyond Roles: Prediction Model-Based Process Resource ManagementBusiness Information Systems Workshops10.1007/978-3-642-25370-6_2(5-17)Online publication date: 2011
https://doi.org/10.1007/978-3-642-25370-6_2
Show More Cited By

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Information

Published In

cover image ACM Other conferences

EDBT '10: Proceedings of the 13th International Conference on Extending Database Technology

March 2010

741 pages

ISBN:9781605589459

DOI:10.1145/1739041

Editors:
Ioana Manolescu
INRIA, France
,
Stefano Spaccapietra
EPFL, Switzerland
,
Jens Teubner
ETH Zurich, Switzerland
,
Masaru Kitsuregawa
Tokyo University, Japan
,
Alain Leger
Orange - France Telecom R&D, France
,
Felix Naumann
Hasso Plattner Institute, Germany
,
Anastasia Ailamaki
EPFL, Switzerland
,
Fatma Ozcan
IBM Almaden Research Center

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 March 2010

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EDBT/ICDT '10

EDBT/ICDT '10: EDBT/ICDT '10 joint conference

March 22 - 26, 2010

Lausanne, Switzerland

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Overall Acceptance Rate 7 of 10 submissions, 70%

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Cited By

Gröger CSchlaudraff JNiedermann FMitschang B(2012)Warehousing manufacturing dataProceedings of the 14th international conference on Data Warehousing and Knowledge Discovery10.1007/978-3-642-32584-7_12(142-155)Online publication date: 3-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-32584-7_12
Radeschutz SVrhovnik MSchwarz HMitschang B(2011)Exploiting the symbiotic aspects of process and operational data for optimizing business processes2011 IEEE International Conference on Information Reuse & Integration10.1109/IRI.2011.6009532(117-122)Online publication date: Aug-2011
https://doi.org/10.1109/IRI.2011.6009532
Niedermann FPavel AMitschang B(2011)Beyond Roles: Prediction Model-Based Process Resource ManagementBusiness Information Systems Workshops10.1007/978-3-642-25370-6_2(5-17)Online publication date: 2011
https://doi.org/10.1007/978-3-642-25370-6_2
Niedermann FMaier BRadeschütz SSchwarz HMitschang B(2011)Automated Process Decision Making Based on Integrated Source DataBusiness Information Systems10.1007/978-3-642-21863-7_14(160-171)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21863-7_14
Niedermann FRadeschütz SMitschang B(2011)Business Process Optimization Using Formalized Optimization PatternsBusiness Information Systems10.1007/978-3-642-21863-7_11(123-135)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21863-7_11
Niedermann FSchwarz H(2011)Deep Business Optimization: Making Business Process Optimization Theory Work in PracticeEnterprise, Business-Process and Information Systems Modeling10.1007/978-3-642-21759-3_7(88-102)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21759-3_7
Niedermann FRadeschutz SMitschang B(2010)Design-Time Process Optimization through Optimization Patterns and Process Model MatchingProceedings of the 12th IEEE International Conference on Commerce and Enterprise Computing10.1109/CEC.2010.9(48-55)Online publication date: 10-Nov-2010
https://dl.acm.org/doi/10.1109/CEC.2010.9

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