An Ontology Architecture for Integration of Ontologies

  • Jeongsoo Lee
  • Heekwon Chae
  • Kwangsoo Kim
  • Cheol-Han Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


Ontologies are expected in various areas as promising tools to improve communication among people and to achieve interoperability among systems. For communications between different business domains, building an ontology through integrating existing ontologies is more efficient way than building the ontology without them. However, integration of ontologies is very struggling work since languages, domains, and structures of ontologies are different from each other. In this paper, we suggest an Ontology Architecture which solves this problem by providing a systematic framework to classify ontologies from three kinds of viewpoints: language, domain range, constructs. The Ontology Architecture consists of three axes according to the three viewpoints: Ontology Meta Layering axis, Semantic Domain Layering axis, and Ontology Constructs Layering axis. Because three axes in the Ontology Architecture are designed to improve the syntactic and semantic interoperability among ontologies, the integration of ontologies can be readily achieved.


Unify Modeling Language Layering Criterion Semantic Domain Semantic Interoperability Cognitive 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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A Descriptive Ontology for Linguistic and Cognitive Engineering Website.,
  2. 2.
    Bezivin, J., Devedzic, V., Djuric, D., Favreau, J., Gasevic, D., Jouault, F.: An M3-Neutral infrastructure for bridging model engineering and ontology engineering. In: Proceedings of the Interoperability of Enterprise Software and Applications(INTEROP-ESA 2005), Geneva, Switzerland, pp. 159–172 (February 2005)Google Scholar
  3. 3.
    Bittner, T., Donnelly, M., Winter, S.: Ontology and Semantic Interoperability. In: Large-Scale 3D Data Integration. CRCPress, London (2005)Google Scholar
  4. 4.
    Cregan, A.: Building Topic Maps in OWL-DL. In: Proceedings of the Extreme Markup Languages 2005, Montreal, Canada (August 2005)Google Scholar
  5. 5.
    Duric, D., Gasevic, D., Devedzic, V.: Ontology Modeling and MDA. Journal of Object Technology 4(1), 109–128 (2005)CrossRefGoogle Scholar
  6. 6.
    Duric, D.: MDA-based Ontology Infrastructure. Computer Science and Information Systems 1(1), 91–116 (2004)CrossRefGoogle Scholar
  7. 7.
    Garshol, L.: Living with topic maps and RDF. Ontopia Whitepaper (March 2003),
  8. 8.
    Herre, H., Loebe, F.: A Meta-ontological Architecture for Foundational Ontologies. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3761, pp. 1398–1415. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  9. 9.
    Kent, R.: The Information Flow Foundation for Conceptual Knowledge Organization. In: Proceedings of the 6th International Conference of the International Society for Knowledge Organization(ISKO), Toronto, Canada, August 2000, pp. 111–117 (2000)Google Scholar
  10. 10.
    MITRE, Toward the Use of an Upper Ontology for U.S. Government and U.S. Military Domains: An Evaluation. MITRE Technical Paper (September 2004),
  11. 11.
    Niles, I., Pease, A.: Towards a Standard Upper Ontology. In: Proceedings of the 2nd International Conference on Formal Ontology in Information Systems(FOIS 2001), Ogunquit, USA, October 2001, pp. 2–9 (2001)Google Scholar
  12. 12.
    Noy, N., Hafner, C.: The State of the Art in Ontology Design – A Survey and Comparative Review. AI Magazine 36(3), 53–74 (1997)Google Scholar
  13. 13.
    Object Management Group, MDA Guide Version 1.0.1. OMG Document: omg/2003-06-01 (June 2003),
  14. 14.
    Object Management Group, Ontology Definition Metamodel Request For Proposal. OMG Document: ad/2003-03-40 (August 2005),
  15. 15.
    OpenCyc Website,
  16. 16.
    Pahl, C.: Layered Ontological Modelling for Web Service-Oriented Model-Driven Architecture. In: Hartman, A., Kreische, D. (eds.) ECMDA-FA 2005. LNCS, vol. 3748, pp. 88–102. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  17. 17.
    Pinto, H., Martins, J.: A Methodology for Ontology Integration. In: Proceedings of the 1st international conference on Knowledge capture, Victoria, Canada, pp. 131–138 (2001)Google Scholar
  18. 18.
    Suggested Upper Merged Ontology Website,
  19. 19.
    The SUO Information Flow Framework Website,
  20. 20.
    Vatant, B.: Ontology-driven Topic maps. In: Proceedings of the XML Europe 2004, Amsterdam, Netherlands (April 2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jeongsoo Lee
    • 1
  • Heekwon Chae
    • 1
  • Kwangsoo Kim
    • 1
  • Cheol-Han Kim
    • 2
  1. 1.Dept. of Industrial & Management EngineeringPohang University of Science and TechnologyPohangSouth Korea
  2. 2.Dept. of Information System EngineeringDaejeon UniversityDaejeonSouth Korea

Personalised recommendations