Conflicts of Ontologies – Classification and Consensus-Based Methods for Resolving | SpringerLink
Skip to main content

Conflicts of Ontologies – Classification and Consensus-Based Methods for Resolving

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

Ontology can be treated as the background of an information system. If integration of some systems has to be performed, their ontologies must also be integrated. In this process it is often needed to resolve conflicts between ontologies. In this paper conflicts of ontologies are classified into classes and for each of them a method for conflict solving is proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 11439
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 14299
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Balzer, R.: Tolerating Inconsistency. In: Proceedings of the 13th International Conference on Software Engineering, pp. 158–165. IEEE Press, Los Alamitos (1991)

    Chapter  Google Scholar 

  2. Crow, L., Shadbolt, N.: Extracting focused knowledge from the semantic web. International Journal of Human-Computer Studies 54, 155–184 (2001)

    Article  MATH  Google Scholar 

  3. Day, W.H.E.: Consensus methods as tools for data analysis. In: Bock, H.H. (ed.) Classification and related Methods of Data Analysis, Proceedings of IFCS 1987, pp. 317–324. North-Holland, Amsterdam (1987)

    Google Scholar 

  4. Fensel, D.: Ontologies: Silver Bullet for Knowledge Management and Electronic Commerce. Springer, Heidelberg (2001)

    MATH  Google Scholar 

  5. Fernadez-Breis, J.T., Martinez-Bejar, R.: A cooperative framework for integrating ontologies. Int. J. Human-Computer Studies 56, 665–720 (2002)

    Article  Google Scholar 

  6. Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge System Laboratory, Academic Press, Stanford University (1993)

    Google Scholar 

  7. Nguyen, N.T.: Consensus System for Solving Conflicts in Distributed Systems. Journal of Information Sciences 147, 91–122 (2002)

    Article  MATH  Google Scholar 

  8. Nguyen, N.T.: Processing Inconsistency of Knowledge on Semantic Level. Journal of Universal Computer Science 11(2), 285–302 (2005)

    Google Scholar 

  9. Pinto, H.S., Martins, J.P.: A Methodology for Ontology Integration. In: Proceedings of the First International Conference on Knowledge Capture, pp. 131–138. ACM Press, New York (2001)

    Chapter  Google Scholar 

  10. Reimer, U.: Knowledge Integration for Building Organizational Memories. In: Proceedings of the 11th Banff Knowledge Acquisition for Knowledge Based Systems Workshop, Canada, vol. 2, pp. KM-6.1-KM-6.20 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nguyen, N.T. (2006). Conflicts of Ontologies – Classification and Consensus-Based Methods for Resolving. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_34

Download citation

  • DOI: https://doi.org/10.1007/11893004_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics