A Terminological Approach to Business Domain Modelling

  • Maria Damiani
  • Sandro Bottarelli


We describe an application in the business management area developed using an experimental object based representation system relying on the KL-ONE terminological paradigm. For complex applications entailing a large amount of domain knowledge, efficient mechanisms for knowledge storing and retrieval are necessarely to be incorporated in the representation system. A general approach to the problem is proposed.


Italian Company Domain Description Knowledge Representation Formalism Representational Feature Juridical Person 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [ABDDMZ 89]
    M. Atkinson, F. Bancilhon, D. DeWitt, K. Dittrich, D. Maier, S. Zdonik, The Object-Oriented Database System Manifesto, Proc. of the First International Conference on Deductive and Object-Oriented Databases, Kyoto (J), December 4–6, 1989.Google Scholar
  2. [BGN 89]
    H.W. Beck, S.K. Gala, S.B. Navathe, Classification as query process techique in the CANDIDE semantic data model, Proc.IEEE Conf, on Data Engineering, Los Angeles (Cal.), February 1989, pp. 572–581Google Scholar
  3. [BFL 83]
    R. Brachman, R. Fikes, H. Levesque, KRIPTON: A functional approach to knowledge representation, IEEE Computer 16 (10), 1983.Google Scholar
  4. [BR90]
    E. Bertino, P. Randi, Mapping AQL into SQL programs Datamont spa technical report,May 1990.Google Scholar
  5. [BS 85]
    R. Brachman, J.G. Schmolze, An Overwiew of the KL-ONE Knowledge Representation System, Cognitive Science 9 (2): 171–216, April-June 1985.Google Scholar
  6. [CSC 88]
    AA. VV., CSCW 88, Proceedings of the Conference on Computer-supported Cooperative Work, ACM, Portland, September 1988.Google Scholar
  7. [DP 89]
    J. Doyle, R.S. Patil, Two dogmas of knowledge representation, Report MIT/LCS/TM-387. b Laboratory for Computer Science MIT, Massachusetts USA, September 1989.Google Scholar
  8. [Fi 88]
    R. Fikes, Integrating Hypertext and Frame-based Domain Models, Proc. AAAI-88 Workshop AI and Hypertext: Issues and Directions, May 1988.Google Scholar
  9. [Ga 86]
    F. Galgano, Diritto Commerciale, Le Società, (In Italian), Zanichelli Ed., Bologna (I ), 1986.Google Scholar
  10. [HK 87]
    R. Hull, R. King, Semantic Database Modelling: Survey, Applications and Research Issues, ACM Computing Surveyes, Vol. 19, No. 3, September 1987.Google Scholar
  11. [LI 87]
    P. Lynback, V. Vianu, Mapping a Semantic Data Model to the Relational Model, Proceedings of ACM Special Interest Group on Management of Data, San Francisco, May 1987Google Scholar
  12. [LNet 87]
    K.V. Luck, B. Nebel, C. Peltason, A. Schmiedel, The Anatomy of the Back System, KIT Report 41, Technische Universitat Berlin, January 1987.Google Scholar
  13. [MAet 87]
    E. Mays, C. Apté, J. Griesmer, J. Kastner, Organizing Knowledge in a Complex Financial Domain, IEEE Expert, fall 1987 pp. 61–70, 1987Google Scholar
  14. [Ne 87]
    B. Nebel, Computation Complexity of Terminological Reasoning in BACK, Artificial Intelligence, Vol. 34, No. 3, pp. 344–348, April 1988.MathSciNetCrossRefGoogle Scholar
  15. [Ne 88]
    B. Nebel, Hybrid Reasoning in BACK, Proc. Methodologies for Intelligent Systems, 3, Ed. W.Ras, L. Saitta, Turin (I), October 1988.Google Scholar
  16. [NI 87]
    B. Nixon, L. Chung et al., Implementation of a Compiler for Semantic Data Model: Experiences with Taxis, Proceedings of ACM Special Interest Group on Management of Data, San Francisco, May 1987Google Scholar
  17. [P311 89]
    ADKMS (Esprit Project 311) Deliverable 1,May 1989.Google Scholar
  18. [PSet 89]
    C. Peltason, A. Schmiedel, K. Kindermann, J. Quanz, The BackSystemRevisited, KIT Report 75, Technische Universitat Berlin, September 1989.Google Scholar
  19. [SPet 86]
    A. Schmiedel, C. Peltason, B. Nebel, K.V. Luck, Bitter Pills -A Case Study in Knowledge Representation, KIT Report 39, Berlin: Departement of Computer Science, Technische Univeritat Berlin, August 1986.Google Scholar
  20. [SG 88]
    G. Spinelli, S. Gaglio, M. Costa, M. Frixione, M. Traversa, M. Zoletti, Was King ARThur a King by Definition?, AICOM 1(1), January 88.Google Scholar
  21. [WTS 89]
    AA.VV., Statements of Interest for the Workshop on Term Subsumption Languages in Knowledge Representation,Workshop on Term Subsumption Languages in Knowledge Representation, Thorm Hyll, New Hampshire, USA, August 198.Google Scholar

Copyright information

© Springer-Verlag/Wien 1990

Authors and Affiliations

  • Maria Damiani
    • 1
  • Sandro Bottarelli
    • 1
  1. 1.Datamont R&D CentreDatamont SpA — Gruppo FerruzziMilanoItaly

Personalised recommendations