Skip to main content
SpringerLink
Log in
Book cover

International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management

IC3K 2012: Knowledge Discovery, Knowledge Engineering and Knowledge Management pp 393–409Cite as

Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technologies

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 415))

Abstract

In the APPRIS project an Early-Warning-System (EWS) is developed applying semantic technologies, namely an enterprise ontology and an inference engine, for the assessment of procurement risks. Our approach allows for analyzing internal resources (e.g. ERP and CRM data) and external sources (e.g. entries in the Commercial Register and newspaper reports) to assess known risks, but also for identifying ‘black swans’, which hit enterprises with no warning but potentially large impact. For proof of concept we developed a prototype that allows for integrating data from various information sources, of various information types (structured and unstructured), and information quality (assured facts, news); automatic identification, validation and quantification of risks and aggregation of assessment results on several granularity levels. The motivating scenario is derived from three business project partners’ real requirements for an EWS.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bertolazzi, P., Krusich, C., Missikoff, M., Manzoni, V.: An Approach to the Definition of a Core Enterprise Ontology: CEO. In: International Workshop on Open Enterprise Solutions: Systems, Experiences, and Organizations - OES-SEO 2001, pp. 104–115, Rome(2001)

    Google Scholar 

  2. Billinton, R., Allan, R.N.: Reliability Evaluation of Engineering Systems. Springer (1992)

    Google Scholar 

  3. Chi, Y.-L.: Rule-based ontological knowledge base for monitoring partners across supply networks. Expert Systems with Applications 37(2), 1400–1407 (2010), doi:10.1016/j.eswa.2009.06.097

    Article  Google Scholar 

  4. Chung, W.W.C., Yam, A.Y.K., Chan, M.F.S.: Networked enterprise: A new business model for global sourcing. International Journal of Production Economics 87(3), 267–280 (2004), doi:10.1016/S0925-5273(03)00222-6

    Article  Google Scholar 

  5. Dietz, J.L.G.: Enterprise Ontology. Springer, Heidelberg (2006)

    Book  Google Scholar 

  6. Emmerson, C.: Global Risks, Sixth Edition, pp. 1–55 (2011), http://reports.weforum.org/wp-content/blogs.dir/1/mp/uploads/pages/files/global-risks-2011.pdf

  7. Fox, M.S., Grüninger, M.: Enterprise Modeling. AI Magazine 19(3), 109–121 (1998), doi:10.1147/sj.372.0170

    Google Scholar 

  8. Fox, M.S., Barbuceanu, M., Grüninger, M., Lin, J.: An Organization Ontology for Enterprise Modelling. Simulating Organizations: Computational Models of Institutions and Group, pp. 131–152. AAAI/MIT Press (1996)

    Google Scholar 

  9. Geerts, G.L., McCarthy, W.E.: The Ontological Foundation of REA Enterprise Information Systems. Business, 1–34 (2000)

    Google Scholar 

  10. Geissbauer, R., D’heur, M.: 2010-2012. Global Supply Chain Trends, pp. 1-28 (2011)

    Google Scholar 

  11. Grosse-Ruyken, P.T., Wagner, S.M.: APPRIS Project Report. Integration The Vlsi Journal, 1–124 (2011)

    Google Scholar 

  12. Grubic, T., Fan, I.-S.: Computers in Industry Supply chain ontology: Review, analysis and synthesis. Computers in Industry 61(8), 776–786 (2010), doi:10.1016/j.compind.2010.05.006

    Article  Google Scholar 

  13. Hinkelmann, K., Merelli, E., Thönssen, B.: The Role of Content and Context in Enterprise Repositories. In: Proceedings of the 2nd International Workshop on Advanced Enterprise Architecture and Repositories - AER 2010 (2010)

    Google Scholar 

  14. Horrocks, I., Patel-schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: A Semantic Web Rule Language Combining OWL and RuleML. Syntax (2004)

    Google Scholar 

  15. Leppänen, M.: A Context-Based Enterprise Ontology. In: Guizzardi, G., Wagner, G. (eds.) Proceedings of the EDOC International Workshop on Vocabularies, Ontologies and Rules for the Enterprise (VORTE 2005), Enschede, Netherlands, pp. 17–24. Springer, Berlin (2005)

    Google Scholar 

  16. O’Connor, M., Das, A.: SQWRL: a Query Language for OWL (2011)

    Google Scholar 

  17. Park, K.H., Favrel, J.: Virtual Enterprise - Information System and Networking Solution. Computers & Industrial Engineering 37, 441–444 (1999)

    Article  Google Scholar 

  18. PricewaterhouseCoopers, Risk in review. Coping with the unknown: risk management strategies for an uncertain world (2012), http://www.pwc.com/us/en/risk-assurance-services/publications/assets/pwc-risk-in-review-aug-2012.pdf

  19. Priddat, B.P.: E-Government als Virtualisierungsstrategie des Staates. Demokratisierung der Wissensgesellschaft und professioneller Staat. TECHNIKFOLGENABSCHÄ TZUNG Theorie und Praxis 11(3/4) (2002)

    Google Scholar 

  20. Tah, J.H.M., Carr, V.: Towards a framework for project risk knowledge management in the construction supply chain. Advances in Engineering Software 32(10-11), 835–846 (2001), doi:10.1016/S0965-9978(01)00035-7

    Article  MATH  Google Scholar 

  21. The Institute of Operational Risk, Key Risk Indicators (2010)

    Google Scholar 

  22. The Open Group (2012), ArchiMate 2.0 Specification. The Open Group, http://pubs.opengroup.org/architecture/archimate2-doc/

  23. Thönssen, B.: An Enterprise Ontology Building the Bases for Automatic Metadata Generation. In: Proceedings of the 4th International Conference on Metadata and Semantics, MTSR1200, pp. 195–210 (2010)

    Google Scholar 

  24. Thönssen, B.: Formalizing low - level governance instruments for a more holistic approach to automatic metadata generation. In: Proceedings of the 5th International Conference on Methodologies, Technologies and Tools enabling e-Government, Camerino, Italy, pp. 1–12 (2011)

    Google Scholar 

  25. Thönssen, B.: Turning Risks Into Opportunities. Electronic Government, tbp. (2012), http://www.inderscience.com/browse/index.php?journalID=72

  26. Thönssen, B.: Automatic, Format-independent Generation of Metadata for Documents Based on Semantically Enriched Context Information. Knowledge Creation Diffusion Utilization. University of Camerino. (2013), http://ecum.unicam.it/429/

  27. Thönssen, B., Wolff, D.: A broader view on Context Models to support Business Process Agility. In: Smolnik, S., Teuteberg, F., Thomas, O. (eds.) Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications (2010)

    Google Scholar 

  28. Uschold, M., King, M., Moralee, S., Zorgios, Y.: The Enterprise Ontology. The Knowledge Engineering Review 13 (1997)

    Google Scholar 

  29. Volatier, L., Cordon, C., Gallery, C.: Suppliers and vendors first. International Association For Contract & Commerical Management (IACCM) (2009), https://www.iaccm.com

  30. Wyman, O.: Studie: Risikomanagement im Einkauf 2010. Einkauf und Management. Das Online-Magazin des Forum Einkauf (2010), http://www.einkauf-und-management.at/index.php/einkauf/more/studie_risikomanagement_im_einkauf_2010/ (accessed October 20, 2013)

  31. Xiwei, W., Stöβlein, M., Kan, W.: Designing knowledge chain networks in China — A proposal for a risk management system using linguistic decision making. Technological Forecasting and Social Change 77(6), 902–915 (2010), doi:10.1016/j.techfore.2010.01.002

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland FHNW, Olten, Switzerland

    Sandro Emmenegger, Knut Hinkelmann & Barbara Thönssen

  2. Institute of Information and Process Management, University of Applied Science St. Gallen FHS, St. Gallen, Switzerland

    Emanuele Laurenzi

Authors
  1. Sandro Emmenegger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Knut Hinkelmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Emanuele Laurenzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Barbara Thönssen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Jan L. G. Dietz

  3. Informatics Research Centre, Henley Business School, University of Reading, RG6 6UD, UK

    Kecheng Liu

  4. INSTICC and IPS, Estefanilha, Setúbal, Portugal

    Joaquim Filipe

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Emmenegger, S., Hinkelmann, K., Laurenzi, E., Thönssen, B. (2013). Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technologies. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2012. Communications in Computer and Information Science, vol 415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54105-6_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54105-6_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54104-9

  • Online ISBN: 978-3-642-54105-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation