Automation of the Ontology Axioms Transformation into Information Processing Rules Model

  • Olegas Vasilecas
  • Diana Bugaite
Conference paper

The business rule approach is used in information systems to represent domain knowledge and to maintain rules systems efficiently in volatile business environment. But firstly, it is necessary to determine the business rules and ensure that the rules are appropriate. The important requirement for developing of the rules model is to reduce efforts, costs and time. This requirement can be implemented by the explicit use of enterprise knowledge for generation of rules, which can be implemented as modern DBMSs triggers.


Business Rule Automatic Transformation Event Ontology Executable Rule Trigger Rule 
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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  1. 1.
    Guarino N (1998) Formal Ontology and Information Systems. In: FOIS’98, Trento, Italy, 1998. Amsterdam, IOS Press, pp 3-15Google Scholar
  2. 2.
    Bugaite D, Vasilecas O (2006) Ontology-Based Elicitation of Business Rules. In: Nilsson AG et al. (eds.) Advances in Information Systems De-velopment, Springer, Sweden, pp 795-806Google Scholar
  3. 3.
    Lebedys E, Vasilecas O (2004) Analysis of business rules modelling lan-guages. In: IT’2004, Lithuania, Technologija, pp 487-494Google Scholar
  4. 4.
    Yang X (2001) Ontologies and How to Build Them. (March, 2006):∼xwy/publications/
  5. 5.
    Gruber T (2004) What is an Ontology? (March, 2004):
  6. 6.
    Valatkaite I, Vasilecas O (2004) On Business Rules Approach to the In-formation Systems Development. In: Linger H et al. (eds.) Proc. of ISD’2003, Australia, Kluwer Academic/Plenum Publishers, pp 199-208Google Scholar
  7. 7.
    Cilia M, Bornhovd C, Buchmann AP (2005) Event Handling for the Uni-versal Enterprise. Information Technology and Management - Special Is-sue on Universal Enterprise Integration, 5(1): 123-148Google Scholar
  8. 8.
    Chen H, Perich F, et al. (2004) SOUPA: Standard Ontology for Ubiqui-tous and Pervasive Applications. In: Proc. of the First Annual Interna-tional Conference on Mobile and Ubiquitous Systems: Networking and Services, Boston, (March, 2006):
  9. 9.
    Event Ontology. KendraBase-server3(March,2006):
  10. 10.
    eBiquity Event Ontology :: Classes and Properties. SchenaWeb (March, 2006):
  11. 11.
    Chen H (2004) SOUPA Ontology 2004-06, Semantic web in ubicomp, (March, 2006):
  12. 12.
    Jakkilinki R, Sharda N, Georgievski M (2005) Developing an Ontology for Teaching Multimedia Design and Planning. (September, 2005):∼nalin/MUDPYOntologyPreprintV2.pdf.
  13. 13.
    Grosso W (2002) The Protégé Axiom Language and Toolset ( PAL ). (September,2005): documentation/index.html.
  14. 14.
  15. 15.
    Hou J(2005) EZPal Tab, Stanford University(March,2006):
  16. 16.
    Vasilecas O, Bugaite D, Trinkunas J (appear) (2006) On Approach for Enterprise Ontology Transformation into Conceptual Model. In: Rachev B, Smirkarov A (eds.): Proc. of the International Conference on Com-puter Systems and Technologies “CompSysTech’06”, Varna, Bulgaria, pp 281-289Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Olegas Vasilecas
    • 1
  • Diana Bugaite
    • 1
  1. 1.Department of Information SystemsVilnius Gediminas Technical UniversityLithuania

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