Skip to main content
SpringerLink
Log in

A Subjective Logic-Based Framework for Aligning Multiple Ontologies

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

In this paper a framework for aligning ontologies within the community of agents using different semantic similarity measures is presented. Proposed approach postulates the use of Subjective Logic for estimating concepts’ correspondence and allows relating concepts from many ontologies, even not previously aligned.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • 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.

References

  1. Andrea, M., Egenhofer, M.: Determining Semantic Similarity Among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering 15, 442–456 (2003)

    Article  Google Scholar 

  2. Hendler, J.: Agents and the Semantic Web. IEEE Intelligent Systems 16(2), 30–37 (2001)

    Article  Google Scholar 

  3. Hameed, A., et al.: Detecting Mismatches among Experts’ Ontologies Acquired through Knowledge Elicitation. In: Proceedings of 21th International Conference on Knowledge Based Systems and Applied Artificial Intelligence ES 2001, Cambridge, UK, pp. 9–24 (2001)

    Google Scholar 

  4. Jøsang, A.: A Logic for Uncertain Probabilities. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(3), 279–311 (2001)

    MathSciNet  Google Scholar 

  5. Jøsang, A.: A Metric for Trusted Systems. In: Proceedings of the 21st National Security Conference, NSA, pp. 68–77 (1998)

    Google Scholar 

  6. Jøsang, A.: Conditional Inference in Subjective Logic. In: Proceedings of the 6th International Conference on Information Fusion, Cairns, pp. 279–311 (2003)

    Google Scholar 

  7. Klein, M.: Combining and Relating Ontologies: an Analysis of Problems and Solutions. In: Proceedings of IJCAI 2001 Workshop on Ontologies and Information Sharing, Amsterdam, pp. 53–62 (2001)

    Google Scholar 

  8. Lin, D.: An Information-Theoretic Definition of Similarity. In: Proceedings of International Conference on Machine Learning, ICML 1998, Madison, USA, pp. 296–304 (1998)

    Google Scholar 

  9. McGuinness, D.L., Fikes, R., Rice, J., Wilder, S.: An Environment for Merging and Testing Large Ontologies. In: Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning, Breckenridge, Colorado, pp. 203–237 (2000)

    Google Scholar 

  10. Maedche, A., Zacharias, V.: Clustering Ontology-Based Metadata in the Semantic Web. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), vol. 2431, pp. 348–360. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  11. Maedche, A., et al.: Semantic PortAL – The SEAL Approach, Creating the Semantic Web. MIT Press, Cambridge (2001)

    Google Scholar 

  12. Noy, N.F., Musen, M.A.: PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In: Proceedings of 17th National Conf. on Artificial Intelligence, Austin, USA, pp. 450–455 (2000)

    Google Scholar 

  13. Fensel, D., et al.: Ontology Management: Survey, Requirements and Directions, Deliverable 4. IST Project IST-1999-10132, Vrije Universiteit Amsterdam (2001)

    Google Scholar 

  14. Resnik, P.: Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language. Journal of Artificial Intelligence Research 11, 95–130 (1999)

    MATH  Google Scholar 

  15. Shaw, M.L.G., Gaines, B.R.: Comparing Conceptual Structures: Consensus, Conflict, Correspondence and Contrast. Knowledge Acquisition 1(4), 341–363 (1989)

    Article  Google Scholar 

  16. Stuckenschmidt, H., Timm, I.: Adaptation of Communication Vocabularies using Shared Ontologies. In: Proceedings of the Second International Workshop on Ontologies in Agent Systems (OAS), Bologna, Italy, pp. 6–12 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Control and Systems Engineering, Wroclaw University of Technology, Wroclaw, Poland

    Krzysztof Juszczyszyn

Authors
  1. Krzysztof Juszczyszyn
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Juszczyszyn, K. (2004). A Subjective Logic-Based Framework for Aligning Multiple Ontologies. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_159

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30133-2_159

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation