Skip to main content

Stability Assess Based on Enhanced Information Content Similarity Measure for Ontology Enrichment

  • Conference paper
Model and Data Engineering (MEDI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8748))

Included in the following conference series:

  • 866 Accesses

Abstract

Ontology assessment is an important issue that has to be addressed during evolution process. It aims at evaluating the quality of ontology in different aspects. One of key aspects is the ontology stability. To compute the stability value of evolved ontology, we rely on a battery of semantic similarity measures especially those based on information content. These measures deal only with the subsumption relationship to compute similarity between two concepts of the same ontology. However, using only this relationship has been shown to be, very often, insufficient. To palliate such shortness, we advocate taking into account other types of relationships, that could improve the semantic relation. In this respect, we introduce a new information content based similarity measure that consider the property relationship in addition to the subsumption one. We show the advantages of this measure and how they asses stability of evolved ontology using our ontology enrichment procedure.

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 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.

Similar content being viewed by others

References

  1. Stojanovic, L.: Methods and Tools for Ontology Evolution. PhD thesis, University of Karlsruhe (2004)

    Google Scholar 

  2. Trousse, B., Aufore, M.A., Le Grand, B., Lechevakier, Y., Masseglia, F.: Web Usage Mining for ontology management in Data mining Mining with ontologies imlementations, finding, and frameworks. ch. 3, pp. 37–64 (2009)

    Google Scholar 

  3. Luong, P.H., Dieng-Kuntz, R.: A Rule-based Approach for Semantic Annotation Evolution. The Computational Intelligence Journal 23(3), 320–338 (2007)

    Article  MathSciNet  Google Scholar 

  4. Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Modelling ontology evaluation and validation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 140–154. Springer, Heidelberg (2006)

    Google Scholar 

  5. Orme, A.M., Yao, H., Etzkorn, L.H.: Complexity metrics for ontology based information. International Journal of Technology Management 47(1-3), 161–173 (2009)

    Article  Google Scholar 

  6. Brank, J., Grobelnik, M., Mladenic, D.: A Survey of Ontology Evaluation Techniques. In: Proc. of the Conference on Data Mining and Data Warehouses (SiKDD 2005), Ljubljana, Slovenia, pp. 165–170 (2005)

    Google Scholar 

  7. Kamoun, K., Ben Yahia, S.: Automatic Approach for Ontology Evolution based on Stability Evaluation. In: Proc. of 8th International Conference on Web Information Systems and Technologies (WEBIST 2012), Porto, Portugal, pp. 452–455 (April 2012)

    Google Scholar 

  8. Blanchard, E., Harzallah, M., Kuntz, P.: A generic framework for comparing semantic similarities on a subsumption hierarchy. In: Proc. of 18th European Conference on Artificial Intelligence (ECAI), Patrace, Greece, pp. 20–24 (2008)

    Google Scholar 

  9. Kamoun, K., Ben Yahia, S.: Information content similarity measure to assess stability during ontology enrichment. International Review on Computer and Software (IRECOS) 7(3) ( May 2012)

    Google Scholar 

  10. Kamoun, K., Ben Yahia, S.: A Novel Global Measure Approach based on Ontology Spectrum to Evaluate Ontology Enrichment. International Journal of Computer Applications 39(17), 23–30 (2012)

    Article  Google Scholar 

  11. 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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Kamoun, K., Ben Yahia, S. (2014). Stability Assess Based on Enhanced Information Content Similarity Measure for Ontology Enrichment. In: Ait Ameur, Y., Bellatreche, L., Papadopoulos, G.A. (eds) Model and Data Engineering. MEDI 2014. Lecture Notes in Computer Science, vol 8748. Springer, Cham. https://doi.org/10.1007/978-3-319-11587-0_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11587-0_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11586-3

  • Online ISBN: 978-3-319-11587-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics