Skip to main content
SpringerLink
Log in

A CBR-Based Approach for Supporting Consulting Agencies in Successfully Accompanying a Customer’s Introduction of Knowledge Management

  • Conference paper
Advances in Case-Based Reasoning (ECCBR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4106))

Included in the following conference series:

Abstract

This paper describes a case-based approach for supporting consulting agencies in accompanying an organisation’s Knowledge Management (KM) implementation. Best Practice Cases (BPCs) of successfully conducted consulting services are captured by the system’s ontology-based case base and reused for further KM introduction services. The system synergetically combines technologies of the Semantic Web with those of Case-based Reasoning. Seen from the KM point of view, the system follows the holistic approach of a KM introduction by considering technological, organizational and human aspects of KM in equal measure.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications 7(1), 39–59 (1994)

    Google Scholar 

  2. Díaz-Agudo, B., González-Calero, P.A.: A Declarative Similarity Framework for Knowledge Intensive CBR. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080. Springer, Heidelberg (2001)

    Google Scholar 

  3. Andreasen, T., Jensen, P.A., Nilsson, J.F., Paggio, P., Pedersen, B.S., Thomsen, H.E.: Content-Based Text Querying With Ontological Descriptors. Data and Knowledge Engineering 48(2), 199–219 (2004)

    Article  Google Scholar 

  4. Andreasen, T., Bulskov, H., Knappe, R.: Modelling and Use of Domain-Specific Knowledge for Similarity and Visualization. In: 7th Int. Conf. on Terminology and Knowledge Engineering, TKE 2005 (2005)

    Google Scholar 

  5. Bernstein, A., Kaufmann, E., Bürki, C., Klein, M.: How Similar Is It? Towards Personalized Similarity Measures in Ontologies. In: 7. Int. Tagung Wirtschaftsinformatik (2005)

    Google Scholar 

  6. Bernstein, A., Kaufmann, E., Bürki, C., Klein, M.: Object Similarity in Ontologies: A Foundation for Business Intelligence Systems and High-performance Retrieval. In: 25th Int. Conf. on Information Systems (2004)

    Google Scholar 

  7. Bergmann, R., Schaaf, M.: Structural Case-Based Reasoning and Ontology-Based Knowledge Management: A Perfect Match? J. Universal Computer Science 9(7), 608–626 (2003)

    Google Scholar 

  8. Chen, H., Wu, Z.: On Case-Based Knowledge Sharing in Semantic Web. In: 15th IEEE Int. Conference on Tools with Artificial Intelligence (ICTAI 2003) (2003)

    Google Scholar 

  9. Davenport, T.H., Probst, J.B.: Knowledge Management Case Book. Publicis Corporate Publishing and John Wiley & Sons (2002)

    Google Scholar 

  10. Davenport, T., Prusak, L.: Working Knowledge. In: How Organizations Manage What They Know. Harvard Business School Press (1998)

    Google Scholar 

  11. Ehrig, M., Haase, P., Hefke, M., Stojanovic, N.: Similarity for Ontologies - A Comprehensive Framework. In: 13th European Conference on Information Systems (2005)

    Google Scholar 

  12. Eppler, M.J., Sukowski, O.: Fallstudien zum Wissensmanagement: Lösungen aus der Praxis. NetAcademy Press, St. Gallen (2001)

    Google Scholar 

  13. Hefke, M., Kleiner, F.: An Ontology-Based Software Infrastructure for Retaining Theoretical Knowledge Management Maturity Models. In: 1st Workshop FOMI 2005 Formal Ontologies Meet Industry (2005)

    Google Scholar 

  14. Lindstaedt, S., Strohmaier, M., Rollett, H., Hrastnik, J., Bruhnsen, K., Droschl, G., Gerold, M.: KMap: Providing Orientation for Practitioners when Introducing Knowledge Management. In: 4th Int. Conf. on Practical Aspects of Knowledge Management (2002)

    Google Scholar 

  15. Lord, P., Bechhofer, S., Wilkinson, M., Schiltz, G., Gessler, D., Goble, C., Stein, L., Hull, D.: Applying Semantic Web Services to Bioinformatics: Experiences Gained, Lessons Learnt. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 350–364. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  16. Maedche, A., Staab, S.: KAON - The Karlsruhe Ontology and Semantic Web Meta Project. Künstliche Intelligenz (KI) 17(3), 27–31 (2003)

    Google Scholar 

  17. Mentzas, G., Apostolou, D., Young, R., Abecker, A.: Knowledge Asset Management. Springer, London (2002)

    Google Scholar 

  18. Peters, M., Forzi, T.: A Decision Support Toolkit for the Selection of KM Methods and Instruments for Inter-organisational Networks. In: 15th eChallenges Conference (2005)

    Google Scholar 

  19. Probst, G., Raub, S., Romhardt, K.: Managing Knowledge: Building Blocks for Success. Wiley, London (1999)

    Google Scholar 

  20. Tiwana, A.: Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms. Pearson Education, London (2002)

    Google Scholar 

  21. Weber, R., Aha, D.W., Becerra-Fernandez, I.: Intelligent Lessons Learned Systems. International Journal of Expert Systems Research & Applications 20(1) (2001)

    Google Scholar 

  22. Bichindaritz, I.: Mémoire: Case Based Reasoning Meets the Semantic Web in Biology and Medicine. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 47–61. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  23. Coyle, L., Doyle, D., Cunningham, P.: Representing Similarity for CBR in XML. Technical Report TCD-CS-2004-25, Trinity College, Dublin (2004)

    Google Scholar 

  24. Bergmann, R.: On the Use of Taxonomies for Representing Case Features and Local Similarity Measures. In: 6th German Workshop on Case-Based Reasoning GWCBR (1998)

    Google Scholar 

  25. Schaaf, M., Freßmann, A., Maximini, R., Bergmann, R., Tartakovski, R., Radetzki, M.: Intelligent IP Retrieval Driven by Application Requirements. Integration, the VLSI Journal (2004)

    Google Scholar 

  26. Shkundina, R., Schwarz, S.: A Similarity Measure for Task Contexts. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620. Springer, Heidelberg (2005)

    Google Scholar 

  27. Oldakowski, R., Bizer, C.: SemMF: A Framework for Calculating Semantic Similarity of Objects Represented as RDF Graphs. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729. Springer, Heidelberg (2005)

    Google Scholar 

  28. Hung, L.C., Beng, L.H., Wah, N.G., Yin, H.K.: Plan Ontology and its Applications. In: 7th Int. Conference on Information Fusion (2004)

    Google Scholar 

  29. Bhavsar, V., Boley, H., Yang, L.: A Weighted-Tree Similarity Algorithm for Multi-Agent Systems in E-Business Environments. Computational Intelligence Journal 20(4) (2004)

    Google Scholar 

  30. Vargas-Vera, M., Motta, E.: An Ontology-Driven Similarity Algorithm. Technical Report KMI-04-16. Open University, Milton Keynes (2004)

    Google Scholar 

  31. D’Amato, C., Fanizzi, N., Esposito, F.: A Semantic Similarity Measure for Expressive Description Logics. In: CILC 2005, Convegno Italiano di Logica Computazionale (2005)

    Google Scholar 

  32. Hau, J., Lee, W., Darlington, J.: A Semantic Similarity Measure for Semantic Web Services. In: Web Service Semantics Workshop at WWW (2005)

    Google Scholar 

  33. Kamp, G.: Using Description Logics for Knowledge Intensive Case-Based Reasoning. In: Smith, I., Faltings, B.V. (eds.) EWCBR 1996. LNCS, vol. 1168. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  34. Smyth, B., McKenna, E.: Modelling the Competence of Case-Bases. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS, vol. 1488, p. 208. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  35. Aamodt, A.: Knowledge-Intensive Case-Based Reasoning in CREEK. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 1–15. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  36. Minor, M., Schmidt, K.: Automatic Transformation and Enlargement of Similarity Models for Case-Based Reasoning. In: Modellierung 2006, Innsbruck (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Forschungszentrum Informatik (FZI), Haid-und-Neu-Straße 10-14, 76131, Karlsruhe, Germany

    Mark Hefke & Andreas Abecker

Authors
  1. Mark Hefke
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andreas Abecker
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Thomas R. Roth-Berghofer

  2. PricewaterhouseCoopers LLP, Center for Advanced Research, Ten Almaden Blvd, Suite 1600, 95113, San Jose, CA

    Mehmet H. Göker

  3. Department of Computer Engineering, Bilkent University, 06800, Ankara, Turkey

    H. Altay Güvenir

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hefke, M., Abecker, A. (2006). A CBR-Based Approach for Supporting Consulting Agencies in Successfully Accompanying a Customer’s Introduction of Knowledge Management. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_39

Download citation

  • DOI: https://doi.org/10.1007/11805816_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36843-4

  • Online ISBN: 978-3-540-36846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation