Skip to main content

Exploiting Profile Modeling for Web-Based Information Systems

  • Conference paper
  • 804 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4832))

Abstract

With the considerable amount of data and the diversity of the user’s needs, the personalization of information becomes a real challenge in web-based information systems. This paper presents a personalized access technique, based on a profile modeling. This technique requires two steps: 1) building user’s profile and 2) using profile content for filtering information. The first step consists in modeling a global profile which can be used for different and independent requirements of personalization. The profile modeling takes into account the user’s context when defining user’s profiles. We describe a global profile in three levels: meta-description level, description level for a specific domain, instances (data). The second step consists in selecting the profiles rules which correspond to the user and his current context and to filter information accordingly.

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. Sassi, S., Verdier, C., Flory, A.: A new system for project management: the I2MS interface. TIGERA, Tunisie Hammamet (2007)

    Google Scholar 

  2. Brickley, D., Guha R.V.: RDF Vocabulary Description Language 1.0: RDF Schema. W3C Recommendation (February 2004)

    Google Scholar 

  3. Abbas, K., Verdier, C.: Design of a medical database transformation algorithm. In: International Conference on Enterprise Information Systems - ICEIS 2006, Paphos – Cyprus, pp. 23–27 (2006)

    Google Scholar 

  4. Bricon-Souf, N., Newman, C.: Context awareness in health care: A review. International Journal of Medical Informatics 76(1), 2–12 (2007)

    Article  Google Scholar 

  5. Ceri, S., Daniel, F., Demald, V., Facca, F.M.: An approach to user-Behavior-Aware Web Applications. In: Lowe, D.G., Gaedke, M. (eds.) ICWE 2005. LNCS, vol. 3579, Springer, Heidelberg (2005)

    Google Scholar 

  6. Fiala, Z., Hinz, M., Meissner, K., Wehner, F.: A component based approach for adaptive dynamic web documents. Journal of web Engineering 2(1-2), 53–73 (2003)

    Google Scholar 

  7. Amato, G., Staraccia, U.: User profile modeling and applications to digital librairies. In: Proceedings of the 3rd European Conference on Research and avanced technology for digital libraries, pp. 184–187 (1999)

    Google Scholar 

  8. Razmerita, L.: User modeling and personalization of the Knowledge Management Systems, book chapter. In: Adaptable and Adaptive Hypermedia, to be published by Idea Group Publishing, USA (2005)

    Google Scholar 

  9. Seo, Y.W., Zhang, T.: A Reinforcement Learning Agent for Personalized Information Filtering. In: Proceedings of the 2000 International Conference on Intelligent User Interfaces, pp. 248–251. ACM, New York (2000)

    Chapter  Google Scholar 

  10. Shavlik, J., Goeks, J.: Learning Users’ Interests by Unobtrusively Observing Their Normal Behaviour. In: Proceedings of the 2000 International Conference on Intelligent User Interfaces, New Orleans (2000)

    Google Scholar 

  11. Dey, A.: Understanding and using context. Personal and Ubiquitous Computing 5(1), 4–7 (2001)

    Article  Google Scholar 

  12. Lemlouma, T., Layaida, N.: Context-aware Adaptation for Mobile Devises. In: IEEE Int. Conf. on Mobile Data Management, pp. 106–111. IEEE Computer Society, Los Alamitos (2004)

    Chapter  Google Scholar 

  13. Burell, J., Gray, G.K., Kubo, K., Farina, N.: Context-aware computing: a text case. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, pp. 34–38. Springer, Heidelberg (2002)

    Google Scholar 

  14. Kirsch-Pinheiro, M., Gensel, J., Martin, H.: Representing Context for an Adaptative Awareness Mechanism. In: de Vreede, G.-J., Guerrero, L.A., Marín Raventós, G. (eds.) CRIWG 2004. LNCS, vol. 3198, pp. 339–348. Springer, Heidelberg (2004)

    Google Scholar 

  15. Chaari, T., Ejigu, D., Laforest, F., Scuturici, V.M.: A Comprehensive Approach to model and use Context for adapting Applications in Pervasive Environments. Int. Journal of Systems and Software (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Mathias Weske Mohand-Saïd Hacid Claude Godart

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Abbas, K., Verdier, C., Flory, A. (2007). Exploiting Profile Modeling for Web-Based Information Systems. In: Weske, M., Hacid, MS., Godart, C. (eds) Web Information Systems Engineering – WISE 2007 Workshops. WISE 2007. Lecture Notes in Computer Science, vol 4832. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77010-7_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77010-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77009-1

  • Online ISBN: 978-3-540-77010-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics