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Ontology Engineering, Scientific Method and the Research Agenda

  • Hans Akkermans
  • Jaap Gordijn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4248)

Abstract

The call for a “focus on content” in ontology research by Nicola Guarino and Mark Musen in their launching statement of the journal Applied Ontology has quite some implications and ramifications. We reflectively discuss ontology engineering as a scientific discipline, and we put this into the wider perspective of debates in other fields. We claim and argue that ontology is a new scientific method for theory formation. This positioning allows for stronger concepts and techniques for theoretical, empirical and practical validation that in our view are now needed in the field. A prerequisite for this is an emphasis on ontology as a (domain) content oriented concept, rather than as primarily a computer representation notion. We propose that taking domain theories and the associated substantive or content reference of ontologies really seriously as first-class citizens, will actually increase the contribution of ontology engineering to the development of scientific method in general. Next, ontologies should develop from the current static representations of relatively stable domain content into actionable theories-in-use, and a possible way forward is to build in capabilities for dynamic self-organization of ontologies as service-oriented knowledge utilities that can be delivered over the Web.

Keywords

Knowledge Management Requirement Engineering Requirement Engineer Content Reference Ontology Engineer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Guarino, N., Musen, M.: Applied ontology: Focusing on content. Applied Ontology 1(1), 1–5 (2005)Google Scholar
  2. 2.
    Offen, R.: Domain understanding is the key to successful system development. Requirements Engineering 7, 172–175 (2002)CrossRefGoogle Scholar
  3. 3.
    Gruber, T.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–220 (1993)CrossRefGoogle Scholar
  4. 4.
    Mika, P., Akkermans, J.: Towards a new synthesis of ontology technology and knowledge management. The Knowledge Engineering Review 19(4), 317–345 (2004); DOI Online (November 11, 2005)CrossRefGoogle Scholar
  5. 5.
    Akkermans, J., Baida, Z., Gordijn, J., Peña, N., Altuna, A., Laresgoiti, I.: Value webs: Using ontologies to bundle real-world services. IEEE Intelligent Systems 19(4), 57–66 (2004)CrossRefGoogle Scholar
  6. 6.
    Gordijn, J., Akkermans, J.: Value-based requirements engineering: Exploring innovative e-Commerce ideas. Requirements Engineering 8(2), 114–134 (2003)CrossRefGoogle Scholar
  7. 7.
    Evermann, J., Wand, Y.: Ontology based object-oriented domain modelling: Fundamental concepts. Requirements Engineering 10, 146–160 (2005)CrossRefGoogle Scholar
  8. 8.
    Kuhn, T.: The Structure of Scientific Revolutions, 2nd edn. The University of Chicago Press, Chicago (1970)Google Scholar
  9. 9.
    Lakatos, I., Musgrave, A. (eds.): Criticism and the Growth of Knowledge. Cambridge University Press, Cambridge (1970)Google Scholar
  10. 10.
    Jammer, M.: The Philosophy of Quantum Mechanics. Wiley-Interscience, New York (1974)Google Scholar
  11. 11.
    Feyerabend, P.: Against Method, 3rd edn., Verso, London (1993)Google Scholar
  12. 12.
    Becker, H.: Tricks of the Trade — How to Think About Your Research While You’re Doing It. University of Chicago Press, Chicago (1998)Google Scholar
  13. 13.
    Robson, C.: Real World Research, 2nd edn. Blackwell Publishers, Oxford (2002)Google Scholar
  14. 14.
    Bowling, A.: Research Methods in Health: Investigating Health and Health Services, 2nd edn. Open University Press, Maidenhead (2002)Google Scholar
  15. 15.
    Bryman, A.: Research Methods and Organization Studies. Routledge, London (1989)CrossRefGoogle Scholar
  16. 16.
    Babbie, E.: The Practice of Social Research, 8th edn. Wadsworth Publishing Company, Belmont (1998)Google Scholar
  17. 17.
    Schreiber, A., Akkermans, J., Anjewierden, A., de Hoog, R., Shadbolt, N., der Velde, W.V., Wielinga, B.: Knowledge Engineering And Management — The CommonKADS Methodology. MIT Press, Cambridge (2000)Google Scholar
  18. 18.
    Wieringa, R., Maiden, N., Mead, N., Rolland, C.: Requirements engineering paper classification and evaluation criteria: A proposal and a discussion. Requirements Engineering 11(1), 102–107 (2006)CrossRefGoogle Scholar
  19. 19.
    Hevner, A., March, S., Park, J., Ram, S.: Design science research in information systems. MIS Quarterly 28(1), 75–105 (2004)Google Scholar
  20. 20.
    Akkermans, J., Gordijn, J.: What is this science called requirements engineering? In: Glinz, M., Lutz, R. (eds.) Proceedings 14th IEEE International Conference on Requirements Engineering (RE 2006). IEEE Computer Society, Los Alamitos (2006)Google Scholar
  21. 21.
    Borst, W., Akkermans, J., Top, J.: Engineering ontologies. International Journal of Human-Computer Studies 46, 365–406 (1997)CrossRefGoogle Scholar
  22. 22.
    Mika, P.: Social networks and the semantic web: The next challenge. IEEE Intelligent Systems 20(1), 80–93 (2005)CrossRefMathSciNetGoogle Scholar
  23. 23.
    Cohen, P.: Empirical Methods for Artificial Intelligence. MIT Press, Cambridge (1995)MATHGoogle Scholar
  24. 24.
    Miles, M., Huberman, A.: Qualitative Data Analysis, 2nd edn. Sage Publications, Thousand Oaks (1994)Google Scholar
  25. 25.
    Ford, K., Bradshaw, J. (eds.): Knowledge Acquisition as Modeling. Wiley, New York (1993)Google Scholar
  26. 26.
    Feltovich, P., Ford, K., Hoffman, R. (eds.): Expertise in Context. AAAI Press / The MIT Press, Menlo Park / Cambridge (1997)Google Scholar
  27. 27.
    Checkland, P., Holwell, S.: Information, Systems and Information Systems — Making Sense of the Field. John Wiley & Sons Ltd, Chichester (1998)Google Scholar
  28. 28.
    Gordijn, J., Yu, E., Van der Raadt, B.: e-Service design using i  ∗  and e 3 value modeling. IEEE Software 23(3), 26–33 (2006)CrossRefGoogle Scholar
  29. 29.
    Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company. Oxford University Press, Oxford (1995)Google Scholar
  30. 30.
    Ford, K., Glymour, C., Hayes, P. (eds.): Thinking About Android Epistemology. The MIT Press, Cambridge (2006)Google Scholar
  31. 31.
    Gordijn, J., Akkermans, J., van Vliet, J.: What’s in an electronic business model? In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 257–273. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  32. 32.
    Van Heijst, G., Schreiber, A., Wielinga, B.: Using explicit ontologies in KBS development. International Journal of Human-Computer Studies 45, 183–292 (1997)CrossRefGoogle Scholar
  33. 33.
    Menzies, T.: Model-based requirements engineering. Requirements Engineering 8, 193–194 (2003)CrossRefGoogle Scholar
  34. 34.
    Toulmin, S.: The Uses of Argument. Cambridge University Press, Cambridge (1958) (Updated Edition 2003)Google Scholar
  35. 35.
    van Eemeren, F., Grootendorst, R.: A Systematic Theory of Argumentation — The Pragma-Dialectical Approach. Cambridge University Press, Cambridge (2004)Google Scholar
  36. 36.
    Fisher, A.: The Logic of Real Arguments, 2nd edn. Cambridge University Press, Cambridge (2004)Google Scholar
  37. 37.
    Yin, R.: Case Study Research — Design and Methods, 3rd edn. SAGE Publications, Thousand Oaks (2003)Google Scholar
  38. 38.
    Argyris, C.: On Organizational Learning. Blackwell Publishers, Cambridge (1992)Google Scholar
  39. 39.
    Argyris, C.: Knowledge for Action. Jossey-Bass Publishers, San Francisco (1993)Google Scholar
  40. 40.
    Argyris, C.: Reasons and Rationalizations — The Limits to Organizational Knowledge. Oxford University Press, Oxford (2004); See especially Ch. 5: Features of Scholarly Inquiry that Inhibit Double-Loop Learning and Implementable ValidityGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hans Akkermans
    • 1
    • 2
  • Jaap Gordijn
    • 1
  1. 1.Business Informatics Department (FEW/BI)Free University Amsterdam VUAAmsterdamThe Netherlands
  2. 2.AKMC Knowledge Management BVKoedijkThe Netherlands

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