Abstract
Enterprises are part of value chains consisting of cross-enterprise business processes forming large business networks of customers, vendors, partners and competitors. These business process networks run on (technical) integration networks, which are semantically interlinked with the processes, while both are correlated to organizational (social) networks, consisting of technical and business domain experts. The insight into these networks promise a competitive advantage through the visibility into the linked enterprise data. However, this information is hidden in complex, dynamic and heterogeneous enterprise domains.
In this position paper, we introduce the new domain of Business Network Management (BNM), which strives to make business networks visible within network views and sets them into context with each other. For that, we extend the Network Mining (NM) domain by a virtualized network approach towards a BNM. That means automatic discovery, mining and inference capabilities are combined with expert knowledge from different domains to compute the networks and a semantic correlation between entities of different perspectives. We comprehensively define the domain and discuss a system implementation, which we evaluated in a real-world customer case.
Chapter PDF
Similar content being viewed by others
Keywords
References
van der Aalst, W., et al.: Process Mining Manifesto. Technical Report, IEEE Task Force (2011)
van der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data – The Story so Far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)
Bizer, C.: The Emerging Web of Linked Data. IEEE Intelligent Systems 24(5), 87–92 (2009)
Chowdhury, N.M.M.K., Boutaba, R.: Network virtualization: state of the art and research challenges. IEEE Communications Magazine (2009)
Filipowska, A., Hepp, M., Kaczmarek, M., Markovic, I.: Organisational Ontology Framework for Semantic Business Process Management. In: Abramowicz, W. (ed.) BIS 2009. LNBIP, vol. 21, pp. 1–12. Springer, Heidelberg (2009)
Hepp, M., Roman, D.: An Ontology Framework for Semantic Business Process Management. Wirtschaftsinformatik, 423–440 (2007)
Hepp, M., Leymann, F., Dominigue, J., Wahler, A., Fensel, D.: Semantic Business Process Management – A Vision Towards Using Semantic Web Services for Business Process Management. In: IEEE International Conference on e-Business Engineering (ICEBE), Beijing (2005)
O’Neill, P., et al.: Topic Overview – IT Service Management. Technical Report, Forrester Research (2006)
Ritter, D.: From Network Mining to Large Scale Business Networks. In: International Workshop on Large Scale Network Analysis (LSNA), WWW Companion, Lyon (2012)
Ritter, D., Westmann, T.: Business Network Reconstruction Using Datalog. In: Barceló, P., Pichler, R. (eds.) Datalog 2.0 2012. LNCS, vol. 7494, pp. 148–152. Springer, Heidelberg (2012)
SAP Process Integration (2012), http://www.sap.com/germany/plattform/netweaver/components/pi/index.epx
Hengevoss, W., Linke, A.: SAP NetWeaver System Landscape Directory – Grundlagen und Praxis. SAP Press (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Ritter, D. (2013). Towards a Business Network Management. In: Poels, G. (eds) Enterprise Information Systems of the Future. Lecture Notes in Business Information Processing, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36611-6_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-36611-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36610-9
Online ISBN: 978-3-642-36611-6
eBook Packages: Computer ScienceComputer Science (R0)