Deliverable: SUPER D6.7 Monitoring and Management Tool – Architecture and Design

Bibliography

Carlos Pedrinaci, Branimir Wetzstein, Jörg Nitzsche, Tammo van Lessen, Luchesar Cekov & Marin Dimitrov: “SUPER D6.7 Monitoring and Management Tool – Architecture and Design”, Sep. 2007.

Abstract

Process monitoring deals with the analysis of process instances at runtime by processing events propagated by the IT infrastructure, such as Workflow Management or ERP systems, supporting business processes. The goal of process monitoring is to track the enactment of processes as they are performed, in order to have timely information about the evolution of business activities, supporting business practitioners in the identification of deviations and the eventual application of corrective measures. In fact, experience shows that many factors can alter the ideal evolution of business processes (e.g., human intervention, mechanical problems, meteorological adversities, etc) and the quick adoption of special measures can mitigate to an important extent the eventual consequences, thus reducing or even avoiding derived economical loses. The quality and level of monitoring provided by existing tools are rather similar and not surprisingly major efforts are devoted to presenting the information in a simple yet meaningful way better supporting humans in the interpretation of monitoring information [1]. Despite the advances there is still a long way to go to achieve the level of adaptability in process-aware systems that current businesses require. The reason for this is mainly that the semantics of the data manipulated concerning some specific business domain, are only present in the head of the business analyst and are not available for automated processing by machines. We propose Semantic Business Process Monitoring as an approach for providing further automation better supporting business practitioners in the analysis of ongoing business processes. We describe the design of a Semantic Business Process Monitoring and Management Tool, build upon an extensive use of the SUPER Ontology Stack and additional conceptualizations specifically required for the Monitoring and Management of Semantic Business Processes. The Monitoring and Management Tool includes an extensive set of features also existing in state-of-the-art tools but improved with the use of semantic information, for filtering data, relating data, defining and computing metrics, etc. The design presented herein intends to support the creation of a quite complete tool that on the one hand provides the typical features commercial tools include, and on the other hand investigates and demonstrates the benefits that can be gained by using semantic technologies for the Monitoring and Management of Business Processes.

Links

Link http://www.ip-super.org/res/Deliverables/M18/D6.7.pdf

BibTeX

@techreport{SUPER-D6.7,
  author = {Pedrinaci, Carlos and Wetzstein, Branimir and Nitzsche, Jörg and van Lessen, Tammo and Cekov, Luchesar and Dimitrov, Marin},
  title = {SUPER D6.7 Monitoring and Management Tool – Architecture and Design},
  institution = {super},
  year = {2007},
  etype = {Deliverable},
  number = {D6.7},
  month = {sep},
  abstract = {Process monitoring deals with the analysis of process instances at runtime by processing events propagated by the IT infrastructure, such as Workflow Management or ERP systems, supporting business processes. The goal of process monitoring is to track the enactment of processes as they are performed, in order to have timely information about the evolution of business activities, supporting business practitioners in the identification of deviations and the eventual application of corrective measures. In fact, experience shows that many factors can alter the ideal evolution of business processes (e.g., human intervention, mechanical problems, meteorological adversities, etc) and the quick adoption of special measures can mitigate to an important extent the eventual consequences, thus reducing or even avoiding derived economical loses. The quality and level of monitoring provided by existing tools are rather similar and not surprisingly major efforts are devoted to presenting the information in a simple yet meaningful way better supporting humans in the interpretation of monitoring information [1]. Despite the advances there is still a long way to go to achieve the level of adaptability in process-aware systems that current businesses require. The reason for this is mainly that the semantics of the data manipulated concerning some specific business domain, are only present in the head of the business analyst and are not available for automated processing by machines. We propose Semantic Business Process Monitoring as an approach for providing further automation better supporting business practitioners in the analysis of ongoing business processes. We describe the design of a Semantic Business Process Monitoring and Management Tool, build upon an extensive use of the SUPER Ontology Stack and additional conceptualizations specifically required for the Monitoring and Management of Semantic Business Processes. The Monitoring and Management Tool includes an extensive set of features also existing in state-of-the-art tools but improved with the use of semantic information, for filtering data, relating data, defining and computing metrics, etc. The design presented herein intends to support the creation of a quite complete tool that on the one hand provides the typical features commercial tools include, and on the other hand investigates and demonstrates the benefits that can be gained by using semantic technologies for the Monitoring and Management of Business Processes.},
  editor = {Pedrinaci, Carlos},
  ee = {http://taval.de/publications/SUPER-D6.7},
  owner = {vanto},
  timestamp = {2008.09.14},
  url = {http://taval.de/publications/SUPER-D6.7},
  version = {1.0}
}

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