Skip to main content
SpringerLink
Log in
Book cover

International Conference on Case-Based Reasoning

ICCBR 2016: Case-Based Reasoning Research and Development pp 430–444Cite as

Defining the Initial Case-Base for a CBR Operator Support System in Digital Finishing

A Methodological Knowledge Acquisition Approach

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9969))

Abstract

Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main contribution of this paper is the description of the methods that we used in order to build the initial case-base including the steps taken in order to make sure that the quality of the initial case set is appropriate. We first present the domain and argue why CBR is an appropriate solution for our application. Then we detail how we created the case base and show how the cases are validated.

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 EPUB and 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

Notes

  1. 1.

    Thagard, Paul, Cognitive Science, The Stanford Encyclopedia of Philosophy (Fall 2008 Edition), Edward N. Zalta (ed.).

References

  1. Aamodt, A.: Modeling the knowledge contents of CBR systems (2001)

    Google Scholar 

  2. Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7(1), 39–59 (1994)

    Google Scholar 

  3. Bach, K.: Knowledge Acquisition for Case-Based Reasoning Systems. Dr. Verlag Hut, Munich (2012)

    Google Scholar 

  4. Bergmann, R., et al.: Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology. LNAI, vol. 1612. Springer, Heidelberg (2003)

    Google Scholar 

  5. Bergmann, R.: Experience Management Foundations, Development Methodology, and Internet-Based Applications. Springer-Verlag, Heidelberg (2002)

    MATH  Google Scholar 

  6. Cordier, A., Fuchs, B., Lieber, J., Mille, A.: Failure analysis for domain knowledge acquisition in a knowledge-intensive CBR system. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS (LNAI), vol. 4626, pp. 463–477. Springer, Heidelberg (2007). doi:10.1007/978-3-540-74141-1_32

    Chapter  Google Scholar 

  7. Cordier, A.: Interactive and opportunistic knowledge acquisition in case-based reasoning. Thesis (2008). https://tel.archives-ouvertes.fr/tel-00364368

  8. Cunningham, P.: CBR: strengths and weaknesses. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds.) IEA/AIE 1998. LNCS, vol. 1416, pp. 517–524. Springer, Heidelberg (1998). doi:10.1007/3-540-64574-8_437. http://link.springer.com/chapter/10.1007/3-540-64574-8_437

    Chapter  Google Scholar 

  9. Díaz-Agudo, B., González-Calero, P.A., Recio-García, J.A., Sánchez-Ruiz-Granados, A.A.: Building CBR systems with jcolibri. Sci. Comput. Prog. 69(1), 68–75 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  10. Dufour-Lussier, V., Le Ber, F., Lieber, J., Nauer, E.: Automatic case acquisition from texts for process-oriented case-based reasoning. Inf. Syst. 40, 153–167 (2014). http://www.sciencedirect.com/science/article/pii/S0306437912001573

    Article  Google Scholar 

  11. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)

    Google Scholar 

  12. Hinkle, D., Toomey, C.: Applying case-based reasoning to manufacturing. AI Mag. 16(1), 65 (1995). http://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1124

    Google Scholar 

  13. Kubie, J., Melkus, L.A., Johnson, R.C., Flanagan, G.A.: User-Centred Design, 7th edn. CRC Press Inc., Boca Raton (1999)

    Google Scholar 

  14. Leake, D.B., Sooriamurthi, R.: When two case bases are better than one: exploiting multiple case bases. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 321–335. Springer, Heidelberg (2001). doi:10.1007/3-540-44593-5_23

    Chapter  Google Scholar 

  15. Manzoor, J., Asif, S., Masud, M., Khan, M.J.: Automatic case generation for case-based reasoning systems using genetic algorithms (2012)

    Google Scholar 

  16. Nagendra Prasad, M.V., Lander, S.E., Lesser, V.R.: On retrieval and reasoning in distributed case bases (1995)

    Google Scholar 

  17. Öztürk, P., Tidemann, A.: A review of case-based reasoning in cognition-action continuum: a step toward bridging symbolic and non-symbolic artificial intelligence. Knowl. Eng. Rev. 29(01), 51–77 (2014). http://journals.cambridge.org/article_S0269888913000076

    Article  Google Scholar 

  18. Plaza, E., McGinty, L.: Distributed case-based reasoning. Knowl. Eng. Rev. 20(03), 261–265 (2005). http://journals.cambridge.org/article_S0269888906000683

    Article  Google Scholar 

  19. Richter, M.M.: Knowledge containers. In: Readings in Case-Based Reasoning. Morgan Kaufmann Publishers (2003)

    Google Scholar 

  20. Richter, M.M., Aamodt, A.: Case-based reasoning foundations. Knowl. Eng. Rev. 20(03), 203–207 (2005). http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=435273&fileId=S0269888906000695

  21. Roth-Berghofer, T.R.: Explanations and case-based reasoning: foundational issues. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 389–403. Springer, Heidelberg (2004). doi:10.1007/978-3-540-28631-8_29

    Chapter  Google Scholar 

  22. Shluzas, L.A., Steinert, M., Katila, R.: User-centered innovation for the design and development of complex products and systems. In: Leifer, L., Plattner, H., Meinel, C. (eds.) Design Thinking Research, pp. 135–149. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  23. Shokouhi, S.V., Aamodt, A., Skalle, P.: A semi-automatic method for case acquisition in CBR a study in oil well drilling (2010)

    Google Scholar 

  24. Shokouhi, S.V., Skalle, P., Aamodt, A.: An overview of case-based reasoning applications in drilling engineering. Artif. Intell. Rev. 41(3), 317–329 (2014)

    Article  Google Scholar 

  25. Stahl, A., Roth-Berghofer, T.R.: Rapid prototyping of CBR applications with the open source tool myCBR. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 615–629. Springer, Heidelberg (2008). doi:10.1007/978-3-540-85502-6_42

    Chapter  Google Scholar 

  26. Tautz, C.: Costumizing software engineering experience management systems to organizational needs. Fraunhofer-IRB-Verlag (2000)

    Google Scholar 

  27. Veloso, M., Aamodt, A.: ICCBR 1995. LNAI, vol. 1010. Springer, Heidelberg (1995). http://www.springer.com/computer/ai/book/978-3-540-60598-0

    Book  Google Scholar 

  28. Watson, I.: Applying Knowledge Management: Techniques for Building Corporate Memories. Morgan Kaufmann, New York (2003)

    Google Scholar 

  29. Yang, C., Farley, B., Orchard, B.: Automated case creation and management for diagnostic CBR systems. Appl. Intell. 28(1), 17–28 (2008)

    Article  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the Norwegian Research Council and the BIA program for financial support of the project (partially through grant 235427) as well as the participating case companies, which together enabled this study.

Author information

Authors and Affiliations

  1. SINTEF ICT, Sluppen, PO Box 4760, 7465, Trondheim, Norway

    Leendert W. M. Wienhofen & Bjørn Magnus Mathisen

  2. Department of Computer and Information Science, Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Bjørn Magnus Mathisen

Authors
  1. Leendert W. M. Wienhofen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bjørn Magnus Mathisen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Leendert W. M. Wienhofen .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology , Atlanta, Georgia, USA

    Ashok Goel

  2. Universidad Complutense de Madrid , Madrid, Spain

    M Belén Díaz-Agudo

  3. University of West London , London, United Kingdom

    Thomas Roth-Berghofer

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Wienhofen, L.W.M., Mathisen, B.M. (2016). Defining the Initial Case-Base for a CBR Operator Support System in Digital Finishing. In: Goel, A., Díaz-Agudo, M., Roth-Berghofer, T. (eds) Case-Based Reasoning Research and Development. ICCBR 2016. Lecture Notes in Computer Science(), vol 9969. Springer, Cham. https://doi.org/10.1007/978-3-319-47096-2_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47096-2_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47095-5

  • Online ISBN: 978-3-319-47096-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation