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SENTINEL: a semantic business process monitoring tool
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Source ACM International Conference Proceeding Series; Vol. 308 archive
Proceedings of the first international workshop on Ontology-supported business intelligence table of contents
Karlsruhe, Germany
Article No. 1  
Year of Publication: 2008
ISBN:978-1-60558-219-1
Authors
Carlos Pedrinaci  The Open University, Milton Keynes, United Kingdom
Dave Lambert  The Open University, Milton Keynes, United Kingdom
Branimir Wetzstein  University of Stuttgart, Stuttgart, Germany
Tammo van Lessen  University of Stuttgart, Stuttgart, Germany
Luchesar Cekov  Office Express IT Center, Sofia, Bulgaria
Marin Dimitrov  Office Express IT Center, Sofia, Bulgaria
Publisher
ACM  New York, NY, USA
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ABSTRACT

Business Activity Monitoring (BAM) aims to support the real-time analysis of business processes in order to improve the speed and effectiveness of business operations. Providing a timely, integrated high-level view on the evolution and well-being of business activities within enterprises constitutes a highly valuable analytical tool for monitoring, managing and hopefully enhancing businesses. However, the degree of automation currently achieved cannot support the level of reactivity and adaptation demanded by businesses. We argue that the fundamental problem is that moving between the business level and the IT level is insufficiently automated and suggest an extensive use of semantic technologies as a solution. In particular, we present SENTINEL a Semantic Business Process Monitoring tool that advances the state of the art in BAM by making extensive use of semantic technologies in order to support the integration and derivation of business level knowledge out of low-level audit trails generated by IT systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
W. Abramowicz, A. Filipowska, M. Kaczmarek, and T. Kaczmarek. Semantically enhanced business process modelling notation. In Proceedings of SBPM 2007 Semantic Business Process and Product Lifecycle Management in conjunction with the 3rd European Semantic Web Conference (ESWC 2007), Innsbruck, Austria, June 2007.
 
2
W. Abramowicz, A. Filipowska, M. Kaczmarek, C. Pedrinaci, M. Starzecka, and A. Walczak. Organization structure description for the needs of semantic business process management. In 3rd international Workshop on Semantic Business Process Management colocated with 5th European Semantic Web Conference, 2008.
 
3
A. K. Alves de Medeiros, C. Pedrinaci, W. van der Aalst, J. Domingue, M. Song, A. Rozinat, B. Norton, and L. Cabral. An Outlook on Semantic Business Process Mining and Monitoring. In Proceedings of International IFIP Workshop On Semantic Web & Web Semantics (SWWS 2007), 2007.
 
4
A. K. Alves de Medeiros, W. Van der Aalst, and C. Pedrinaci. Semantic Process Mining Tools: Core Building Blocks. In 16th European Conference on Information Systems, Galway, Ireland, June 2008.
 
5
 
6
L. Baresi and S. Guinea. Towards Dynamic Monitoring of WS-BPEL Processes. In Service-Oriented Computing - ICSOC 2005, LNCS, pages 269--282. Springer, 2005.
 
7
 
8
 
9
 
10
 
11
M. Dimitrov, A. Simov, S. Stein, and M. Konstantinov. A BPMO Based Semantic Business Process Modelling Environment. In M. Hepp, K. Hinkelmann, D. Karagiannis, R. Klein, and N. Stojanovic, editors, SBPM, volume 251 of CEUR Workshop Proceedings, Innsbruck, Austria, June 2007. CEUR-WS.org.
 
12
 
13
 
14
 
15
 
16
 
17
 
18
 
19
 
20
 
21
 
22
W. Hur, H. Bae, and S.-H. Kang. Customizable Workflow Monitoring. Concurrent Engineering, 11(4):313--325, 2003.
 
23
JSR 3 Expert Group. Java management extensions (JMX). JSR 3, Java Community Process, 2000. Available at http://www.jcp.org/en/jsr/detail?id=3.
 
24
R. S. Kaplan and D. P. Norton. The Balanced Scorecard - Measures that Drive Performance. Harvard Business Review, January/February 1992.
 
25
P. Kueng, P. Kueng, A. Meier, A. Meier, and T. Wettstein. Computer-based Performance Measurement in SME's: Is there any option. In Proceedings of the International Conference on Systems Thinking in Management, pages 8--10, 2000.
 
26
 
27
D. W. McCoy. Business activity monitoring: Calm before the storm. Technical Report LE-15-9727, Gartner, April 2002.
 
28
 
29
M. Mühlen. Workflow-based Process Controlling. Foundation, Design, and Implementation of Workflow-driven Process Information Systems., volume 6 of Advances in Information Systems and Management Science. Logos, Berlin, 2004.
 
30
J. Nitzsche, T. van Lessen, D. Karastoyanova, and F. Leymann. BPEL for Semantic Web Services (BPEL4SWS). On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops, pages 179--188, 2007.
 
31
B. Norton, C. Pedrinaci, J. Domingue, and M. Zaremba. Semantic Execution Environments for Semantics-Enabled SOA. it - Methods and Applications of Informatics and Information Technology, Special Issue in Service-Oriented Architectures:118--121, 2008.
 
32
Oracle Corporation. Oracle Business Activity Monitoring (BAM). Available at http://www.oracle.com/appserver/business-activity-monitoring.html, 2008.
 
33
C. Pedrinaci, J. Domingue, and A. K. Alves de Medeiros. A Core Ontology for Business Process Analysis. In 5th European Semantic Web Conference, 2008.
 
34
 
35
 
36
K. Schlegel, B. Hostmann, and A. Bitterer. Magic Quadrant for Business Intelligence Platforms, 1Q07. Gartner RAS Core Research Note G00145507, Gartner, January 2007.
 
37
 
38
 
39
Supply-Chain Council. Supply-Chain Operations Reference-model. http://www.supply-chain.org, 2008.
 
40
 
41
W. M. P. van der Aalst, A. H. M. ter Hofstede, and M. Weske. Business Process Management: A Survey. In W. M. P. van der Aalst, A. H. M. ter Hofstede, and M. Weske, editors, Business Process Management, volume 2678 of LNCS, pages 1--12. Springer, 2003.
 
42
B. van Dongen, A. K. Alves de Medeiros, H. Verbeek, A. Weijters, and W. van der Aalst. The ProM Framework: A New Era in Process Mining Tool Support. In Applications and Theory of Petri Nets 2005. 26th International Conference, ICATPN 2005, pages 444--454, Miami, USA, June 2005. Springer-Verlag.
 
43
T. van Lessen, J. Nitzsche, M. Dimitrov, D. Karastoyanova, M. Konstantinov, and L. Cekov. An Execution engine for BPEL4SWS. In 2nd Workshop on Business Oriented Aspects concerning Semantics and Methodologies in Service-oriented Computing (SeMSoc) in conjunction with ICSOC, Sept. 2007. Vienna, Austria.
 
44
 
45

Collaborative Colleagues:
Carlos Pedrinaci: colleagues
Dave Lambert: colleagues
Branimir Wetzstein: colleagues
Tammo van Lessen: colleagues
Luchesar Cekov: colleagues
Marin Dimitrov: colleagues