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The Knowledge Generation about an Enterprise in the KBS-AE (Knowledge-Based System - Acts of Explanation)

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New Challenges in Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 244))

Abstract

In the paper, we present the main elements of the KBS-AE (Knowledge-Based System - Acts of Explanation) oriented toward the knowledge generation about enterprise condition. This knowledge is represented by the relation \(R: \left\langle STRATEGY \right\rangle \rightarrow \left\langle ENTERPRISE\;CONDITION \right\rangle\). The strategy is expressed in terms of the competence system. The concept apparatus is expressed by enterprise ontology worked out by the author on the basis of Roman Ingarden’s theory of individual object. Procedures of information extraction and creation of acts of explanation are presented by means of the UML diagrams. Acts of explanation generate the knowledge about an enterprise concerning interpretation of competence potential assessment and competence gap assessment and also result trajectories.

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References

  1. Davenport, T.H., Prusak, L.: Working Knowledge. Harvard Business School Press (2000)

    Google Scholar 

  2. Altman, E.I.: Financial rations, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance 4, 589–609 (1968)

    Article  Google Scholar 

  3. Altman, E.I.: Corporate financial distress and bankruptcy. John Wiley & Sons, Inc., Chichester (1993)

    Google Scholar 

  4. Zopounidis, C., Dimitras, A.I.: Multicriteria decision aid methods for the prediction of business failure. Kluwer Academic Publishers, Dordrecht (1998)

    MATH  Google Scholar 

  5. Edvinsson, L., Malone, M.S.: Intellectual Capital. HarperCollins Publishers, Inc. (1997)

    Google Scholar 

  6. Bontis, N.: Intellectual capital. An exploratory study that develops measures and models. In: Choo, C.W., Bontis, N. (eds.) The strategic management of intellectual capital and organizational knowledge, pp. 643–655. Oxford University Press, Oxford (2002)

    Google Scholar 

  7. Kim, K.S., Knotts, T.L., Jones, S.C.: Characterizing viability of small manufacturing enterprises (SME) in the market. Expert Systems with Applications 34, 128–134 (2008)

    Article  Google Scholar 

  8. Sohn, S.Y., Kim, H.S., Moon, T.H.: Predicting the financial performance index of technology fund for SME using structural equation model. Expert Systems with Applications 32, 890–898 (2007)

    Article  Google Scholar 

  9. Kaplan, R.S., Norton, D.P.: Translating strategy into action. The Balanced Scorecard. Harvard Business School Press (1996)

    Google Scholar 

  10. Huang, H.C.: Designing a knowledge-based system for strategic planning: A balanced scorecard perspective. Expert Systems with Applications 36, 209–218 (2009)

    Article  MATH  Google Scholar 

  11. Watson, I.: Applying knowledge management. Techniques for building corporate memories. Morgan Kaufmann Publishers, San Francisco (2003)

    Google Scholar 

  12. Li, H., Sun, J.: Ranking-order case-based reasoning for financial distress prediction. Knowledge-Based Systems 21, 868–878 (2008)

    Article  Google Scholar 

  13. Chang, W.L.: OnCob: An ontology-based knowledge system for supporting position and classification of co-branding strategy. Knowledge-Based Systems 21, 498–506 (2008)

    Article  Google Scholar 

  14. Ingarden, R.: Spór o istnienie świata. Tom II, Ontologia formalna, cz.1. Forma i Istota (in Polish). PWN, Warszawa (1987)

    Google Scholar 

  15. Andreasik, J.: Enterprise ontology according to Roman Ingarden formal ontology. In: Proc. of the ICCMI 2009 (in press)

    Google Scholar 

  16. Uschold, M., King, M., Moralee, S., Zorgios, Y.: The Enterprise Ontology. The Knowledge Engineering Review 13, 47–76 (1998)

    Google Scholar 

  17. Gruninger, M., Atefi, K., Fox, M.S.: Ontologies to Support Process Integration in Enterprise Engineering. Computational & Mathematical Organization Theory 6, 381–394 (2000)

    Article  Google Scholar 

  18. Dunn, C., Cherrington, J.O., Hollander, A.S.: Enterprise Information Systems. A Pattern-Based Approach. Mc Graw-Hill (2003)

    Google Scholar 

  19. Dietz, J.L.G.: Enterprise ontology. Springer, Heidelberg (2006)

    Book  Google Scholar 

  20. Andreasik, J.: A Case-Based Reasoning System for Predicting the Economic Situation on Enterprises. In: Kurzynski, M., et al. (eds.) Tacit Knowledge Capture Process (Externalization), Computer Recognition Systems 2. ASC, vol. 45, pp. 718–730. Springer, Heidelberg (2007)

    Google Scholar 

  21. Saaty, T.L.: The analytic hierarchy process. Mc Graw-Hill, New York (1980)

    MATH  Google Scholar 

  22. Andreasik, J.: Intelligent System for Predicting Economic Situation of SME. In: Józefczyk, J., Thomas, W., Turowska, M. (eds.) Proc. of the 14th International Congress of Cybernetics and Systems of WOSC, Wroclaw, Poland (2008)

    Google Scholar 

  23. Andreasik, J.: Enterprise Ontology. Diagnostic Approach. In: Proc. of the HSI 2008, Kraków, Poland, pp. 497–503 (2008)

    Google Scholar 

  24. Gasevic, D., Djuric, D., Devedzic, V.: Model driven architecture and ontology development. Springer, Heidelberg (2006)

    Google Scholar 

  25. Rhem, A.J.: UML for developing knowledge management systems. Auerbach Publications (2006)

    Google Scholar 

  26. Schank, R.C., Kass, A., Riesbeck, C.K.: Inside Case-Based Explanation. Lawrence Erlbaum Associates Publishers, Mahwah (1994)

    Google Scholar 

  27. Andreasik, J.: Decision support system for assessment of enterprise competence. In: Kurzynski, M., Wozniak, M. (eds.) Computer Recognition Systems 3. AISC, vol. 57, pp. 559–567. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  28. e-barometr manual, http://www.wszia.edu.pl/eng/files/e-barometr-manual.pdf

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Andreasik, J. (2009). The Knowledge Generation about an Enterprise in the KBS-AE (Knowledge-Based System - Acts of Explanation). In: Nguyen, N.T., Katarzyniak, R.P., Janiak, A. (eds) New Challenges in Computational Collective Intelligence. Studies in Computational Intelligence, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03958-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-03958-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03957-7

  • Online ISBN: 978-3-642-03958-4

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