Skip to main content

Ontology Evolution Detection: Method and Results

  • Conference paper
  • First Online:
The Semantic Web and Web Science (CSWS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 480))

Included in the following conference series:

  • 780 Accesses

Abstract

The distributed and dynamic characteristics of semantic Web make ontologies change constantly, that leads to ontology evolution and different versions of ontologies. In ontology evolution, changes would happen at domain, shared conceptual model and ontology representation, and then these changes would propagate and affect semantics of other elements. This paper focuses on ontology evolution detection, which is the foundation of ontology evolution problem. First, an evolution detection method based on similarity is proposed. Then the minimum cost of evolution strategy is also proposed to recover the reasonable evolution process. Experimental results show that this method performs well on OAEI benchmark data set.

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

Access this chapter

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 EPUB and 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

References

  1. Stojanovic, L.: Methods and tools for ontology evolution. Ph.D. thesis, University of Karlsruhe (2004)

    Google Scholar 

  2. Noy, N.F., Klein, M.: Ontology evolution: not the same as schema evolution. Knowl. Inf. Syst. 6(4), 328–440 (2004)

    Article  Google Scholar 

  3. Groß, A., Hartung, M., Prüfer, K., et al.: Impact of ontology evolution on functional analyses. Bioinformatics 28(20), 2671–2677 (2012)

    Article  Google Scholar 

  4. Dong, G., Gao, Z., Qiu, X.: Automatic approach to ontology evolution based on change impact comparisons. Tsinghua Sci. Technol. 15(6), 716–723 (2010)

    Article  Google Scholar 

  5. Wang, P., Xu, B., Zhou, Y.: Extracting semantic subgraphs to capture the real meanings of ontology elements. J. Tsinghua Sci. Technol. 15(6), 724–733 (2010)

    Article  Google Scholar 

  6. Wang, P., Xu, B.: Lily: ontology alignment results for OAEI 2009. In: Proceedings of the Third International Workshop on Ontology Matching, pp. 167–175 (2008)

    Google Scholar 

  7. Wang, P., Zhou, Y., Xu, B.: Matching large ontologies based on reduction anchors. In: IJCAI, pp. 2343–2348 (2011)

    Google Scholar 

  8. Javed, M., Abgaz, Y.M., Pahl, C.: Composite ontology change operators and their customizable evolution strategies. In: The 2nd Joint Workshop on Knowledge Evolution and Ontology Dynamics EvoDyn 2012 - Collocated with the 11th International Semantic Web Conference (2012)

    Google Scholar 

  9. Noy, N.F., Chugh, A., Liu, W., Musen, M.A.: A framework for ontology evolution in collaborative environments. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 544–558. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  10. Palma, R., Corcho, O., Haase, P., et al.: A holistic approach to collaborative ontology development based on change management. Web Semant. Sci. Serv. Agents World Wide Web 9, 299–314 (2011)

    Article  Google Scholar 

  11. Stojanovic, L., Maedche, A., Motik, B., Stojanovic, N.: User-driven ontology evolution management. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 285–300. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. Groß, A., Hartung, M., Prüfer, K., et al.: Impact of ontology evolution on functional analyses. Bioinformatics 28(20), 2671–2677 (2012)

    Article  Google Scholar 

  13. Lee, S., Seo, W., Kang, D., et al.: A framework for supporting bottom-up ontology evolution. Expert Syst. Appl. 32, 376–385 (2007)

    Article  Google Scholar 

  14. Tury, M., Bieliková, M.: An approach to detection ontology changes. In: Workshop Proceedings of the Sixth International Conference on Web Engineering (2006)

    Google Scholar 

  15. Hartung, M., Groß, A., Rahm, E.: Conto–diff: Generation of complex evolution mappings for life science ontologies. J. Biomed. Inform. 46(1), 15–32 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (61472077).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peng Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, G., Wang, P., Yu, B. (2014). Ontology Evolution Detection: Method and Results. In: Zhao, D., Du, J., Wang, H., Wang, P., Ji, D., Pan, J. (eds) The Semantic Web and Web Science. CSWS 2014. Communications in Computer and Information Science, vol 480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45495-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45495-4_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45494-7

  • Online ISBN: 978-3-662-45495-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics