Skip to main content
SpringerLink
Log in

Investigating Similarity of Ontology Instances and Its Causes

  • Conference paper
Artificial Neural Networks - ICANN 2008 (ICANN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5164))

Included in the following conference series:

Abstract

In this paper we present a novel method of comparing instances of ontological concepts in regard to personalized presentation and/or navigation in large information spaces. It is based on the assumption that comparing attributes of documents which were found interesting for a user can be a source for discovering information about user’s interests. We consider applications for the Semantic Web where documents or their parts are represented by ontological concepts. We employ ontology structure and different similarity metrics for data type and object type attributes. From personalization point of view we impute reasons that might have caused user’s interest in the content. Moreover, we propose a way to enumerate similarity for the particular user while taking into account individual user’s interests and preferences.

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 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Brusilovsky, P., Tasso, C.: Preface to special issue on user modeling for web information retrieval. UMUAI 14(2-3), 147–157 (2004)

    Google Scholar 

  2. Návrat, P., Bieliková, M., Rozinajová, V.: Acquiring, organising and presenting information and knowledge from the web. In: Comp. Sys. Tech. 2006 (2006)

    Google Scholar 

  3. Tury, M., Bieliková, M.: An approach to detection ontology changes. In: ICWE 2006: Workshop Proc. of 6th Int. Conf. on Web Eng. ACM Press, Palo Alto (2006)

    Google Scholar 

  4. Rodríguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from different ontologies. IEEE Transactions on Knowledge and Data Engineering 15(2), 442–456 (2003)

    Article  Google Scholar 

  5. Liu, X., Wang, Y., Wang, J.: Towards a semi-automatic ontology mapping. In: Proc. of 5th Mexican Int. Conf. on Artificial Intelligence (MICAI 2006). IEEE, Los Alamitos (2006)

    Google Scholar 

  6. Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to map between ontologies on the semantic web. In: WWW 2002: Proceedings of the 11th international conference on World Wide Web, pp. 662–673. ACM, New York (2002)

    Chapter  Google Scholar 

  7. Formica, A., Missikoff, M.: Concept similarity in symontos: An enterprise management tool. The Computer Journal 45(6), 583–595 (2002)

    Article  MATH  Google Scholar 

  8. Pázman, R.: Ontology search with user preferences. In: Tools for Acquisition, Organisation and Presenting of Information and Knowledge, pp. 139–147 (2006)

    Google Scholar 

  9. Bernstein, A., Kaufmann, E., Burki, C., Klein, M.: How similar is it? towards personalized similarity measures in ontologies. In: 7th International Conference Wirtschaftsinformatik (WI-2005), Bamberg, Germany, pp. 1347–1366 (2005)

    Google Scholar 

  10. Ding, L., Kolari, P., Ding, Z., Avancha, S.: Using ontologies in the semantic web: A survey. In: Sharman, R., et al. (ed.) Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems, pp. 79–113. Springer, Heidelberg (2007)

    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 

  12. Andrejko, A., Barla, M., Bieliková, M.: Ontology-based user modeling for web-based inf. systems. In: Advances in Information Systems Development New Methods and Practice for the Networked Society, vol. 2, pp. 457–468. Springer, Heidelberg (2007)

    Google Scholar 

  13. Barla, M., Bieliková, M.: Estimation of user characteristics using rule-based analysis of user logs. In: Data Mining for User Modeling Proceedings of Workshop held at the International Conference on User Modeling UM 2007, pp. 5–14 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Informatics and Software Engineering Faculty of Informatics and Information technologies, Slovak University of Technology, Ilkovičova 3, 842 16, Bratislava,  

    Anton Andrejko & Mária Bieliková

Authors
  1. Anton Andrejko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mária Bieliková
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Véra Kůrková Roman Neruda Jan Koutník

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Andrejko, A., Bieliková, M. (2008). Investigating Similarity of Ontology Instances and Its Causes. In: Kůrková, V., Neruda, R., Koutník, J. (eds) Artificial Neural Networks - ICANN 2008. ICANN 2008. Lecture Notes in Computer Science, vol 5164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87559-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87559-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87558-1

  • Online ISBN: 978-3-540-87559-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation