Skip to main content

Making Web Users’ Domain Models Explicit by Applying Ontologies

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4802))

Abstract

When searching the web, users have an implicit conceptual model of the domain in their mind. This model is based on their knowledge of the domain and as a rule does not entirely match to the given web site topology. In this paper, we provide a solution to this mismatching problem by making web users’ domain models explicit by using ontologies created on the basis of the user profile mining on the web. The provided method and system enable to improve web ontologies and existing web site topologies to become closer to the user preferences as well as derive new and specific ones.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Srivastava, J., Cooley, R., Deshpande, M., Tan, P.N.: Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explorations 1(2), 12–23 (2000)

    Article  Google Scholar 

  2. Mobasher, B., Cooley, R., Srivastava, J.: Automatic Personalization Based on Web Usage Mining. Communications of the ACM 43(8), 142–151 (2000)

    Article  Google Scholar 

  3. Kolari, P., Joshi, A.: Web Mining - Research and Practice. IEEE Computing in Science and Engineering - Web Engineering Special Issue 6(4), 49–53 (2004)

    Google Scholar 

  4. Eirinaki, M., Lampos, C., Paulakis, S., Vazirgiannis, M.: Web Personalization Integrating Content semantics and Navigational Patterns. In: 6th ACM International Workshop on Web Information and Data Management, Washington DC, USA, pp. 72–79. ACM Press, New York (2004)

    Chapter  Google Scholar 

  5. Middleton, S., De Roure, D., Shadbolt, N.: Capturing Knowledge of User Preferences: Ontologies in Recommender Systems. In: 1st Int. Conference on Knowledge Capture, pp. 100–107. ACM Press, New York (2001)

    Chapter  Google Scholar 

  6. Hartmann, J., Sure, Y.: An Infrastructure for Scalable, Reliable Semantic Portals. IEEE Intelligent Systems 19(3), 58–65 (2004)

    Article  Google Scholar 

  7. Jin, Y., Decker, S., Wiederhold, G.: OntoWebber: Model-Driven Ontology-Based Web Site Management. In: SWWS 2001. 1st Int. Semantic Web Working Symp., pp. 529–547 (2001)

    Google Scholar 

  8. OWL Web Ontology Language, http://www.w3.org/TR/owl-features/

  9. RacerPro, http://www.racer-systems.com/

  10. The Protégé Ontology Editor and Knowledge Acquisition System, http://protege.stanford.edu/

  11. Robal, T., Kalja, A.: Applying User Profile Ontology for Mining Web Site Adaptation Recommendations. In: ADBIS 2007. 11th East-European Conference on Advances in Databases and Information Systems, Varna, Bulgaria (accepted paper, 2007)

    Google Scholar 

  12. Kosala, R., Blockeel, H.: Web Mining Research: A Survey. ACM SIGKDD Explorations 2(1), 1–15 (2000)

    Article  Google Scholar 

  13. Li, Y., Zhong, N.: Mining Ontology for Automatically Acquiring Web User Information Needs. IEEE Transactions on Knowledge and Data Engineering 18(4), 554–568 (2006)

    Article  MathSciNet  Google Scholar 

  14. Davison, B.: Web Traffic Logs: An Imperfect Resource for Evaluation. In: INET 1999. Proceedings of Ninth Annual Conference of the Internet Society, San Jose, CA (1999)

    Google Scholar 

  15. Robal, T., Kalja, A., Põld, J.: Analysing the Web Log to Determine the Efficiency of Web Systems. In: DB&IS 2006. Proc. of the 7th International Baltic Conference on Databases and Information Systems, Technika, Lithuania, pp. 264–275 (2006)

    Google Scholar 

  16. Kimball, R., Margy, R.: The data warehouse toolkit: the complete guide to dimensional modelling. John Wiley & Sons, England (2002)

    Google Scholar 

  17. Semantic Web, http://www.w3.org/2001/sw/

  18. Berendt, B., Hotho, A., Mladenic, D., Someren, M., Spiliopoulou, M., Stumme, G.: A Roadmap for Web Mining: From Web to Semantic Web. In: Berendt, B., Hotho, A., Mladenić, D., van Someren, M., Spiliopoulou, M., Stumme, G. (eds.) EWMF 2003. LNCS (LNAI), vol. 3209, pp. 1–22. Springer, Heidelberg (2004)

    Google Scholar 

  19. Baglioni, M., Ferrara, U., Romei, A., Ruggieri, S., Turini, F.: Preprocessing and Mining Web Log Data for Web personalization. In: Cappelli, A., Turini, F. (eds.) AI*IA 2003: Advances in Artificial Intelligence. LNCS, vol. 2829, pp. 237–249. Springer, Heidelberg (2003)

    Google Scholar 

  20. Lim, E-P., Sun, A.: Web Mining – the Ontology Approach. In: Int. Advanced Digital Library Conference (IADLC 2005), Nagoya University, Nagoya, Japan (2005), http://iadlc.nul.nagoya-u.ac.jp/archives/IADLC2005/Ee-Peng.pdf

  21. Mikroyannidis, A., Theodoulidis, B.: Web usage Driven Adaptation of the Semantic Web. In: Proceedings of UserSWeb: Workshop on End User Aspects of the Semantic Web, Heraklion, Crete, pp. 137–147 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Jean-Luc Hainaut Elke A. Rundensteiner Markus Kirchberg Michela Bertolotto Mathias Brochhausen Yi-Ping Phoebe Chen Samira Si-Saïd Cherfi Martin Doerr Hyoil Han Sven Hartmann Jeffrey Parsons Geert Poels Colette Rolland Juan Trujillo Eric Yu Esteban Zimányie

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Robal, T., Haav, HM., Kalja, A. (2007). Making Web Users’ Domain Models Explicit by Applying Ontologies. In: Hainaut, JL., et al. Advances in Conceptual Modeling – Foundations and Applications. ER 2007. Lecture Notes in Computer Science, vol 4802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76292-8_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-76292-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76291-1

  • Online ISBN: 978-3-540-76292-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics