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Combining Adaptive Hypermedia Techniques and Ontology Reasoning to Produce Dynamic Personalized News Services

  • Owen Conlan
  • Ian O’Keeffe
  • Shane Tallon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)

Abstract

Applying traditional Adaptive Hypermedia techniques to the personalization of news can pose a number of problems. The first main difficulty is the fact that news is inherently dynamic, thus producing an ever shifting pool from which content can be sourced. The second difficulty arises when trying to model a users interests and how they may be related to the available news items. This paper investigates the use of ontologies as a means of providing semantic bridges between available news items from RSS [1] news feeds and the interests of a user. Specifically, it investigates the combination of AH techniques with the ideas of loose and strict ontologies as the basis for personalization. This combination is highlighted through the design, development and evaluation of the Personalized News Service (PNS), which is based on the APeLS architecture [2].

Keywords

User Model News Article Domain Ontology Semantic Meaning User Interest 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Really Simple Syndication (RSS) Specification v2.0, Available online at: http://blogs.law.harvard.edu/tech/rss
  2. 2.
    Conlan, O., Wade, V., Bruen, C., Gargan, M.: Multi-model, Metadata Driven Approach to Adaptive Hypermedia Services for Personalized eLearning. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, p. 100. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Conklin, J.: Hypertext: An Introduction and Survey. IEEE Computer 20(9), 17–41 (1987)Google Scholar
  4. 4.
    De Bra, P., Aerts, A., Berden, B., de Lange, B., Rousseau, B., Santic, T., Smits, D., Stash, N.: AHA! The Adaptive Hypermedia Architecture. In: Proceedings of the ACM Hypertext Conference, Nottingham, UK, pp. 81–84Google Scholar
  5. 5.
    Brusilovsky, P., Schwarz, E., Weber, G.: ELM-ART: An Intelligent Tutoring System on World Wide Web. In: Lesgold, A.M., Frasson, C., Gauthier, G. (eds.) ITS 1996. LNCS, vol. 1086. Springer, Heidelberg (1996)Google Scholar
  6. 6.
    Specht, M., Cravcik, M., Pesin, L., Klemke, R.: Authoring Adaptive Educational Hypermedia in WINDS. In: Proceedings of ABIS 2001, Dortmund, Germany, pp. 1–8 (October 2001)Google Scholar
  7. 7.
    Web Ontology Language (OWL) Reference, Available online at: http://www.w3.org/TR/2004/REC-owl-ref-20040210/
  8. 8.
    DAML+OIL Reference Description (March 2001), Available online at: http://www.w3.org/TR/daml+oil-reference
  9. 9.
    Merialdo, B., Lee, K.T., Luparello, D., Roudaire, J.: Automatic Construction of Personalised TV News Programs. In: ACM Multimedia 1999, Orlando, Florida, USA, pp. 323–331 (October 1999)Google Scholar
  10. 10.
    Jokela, S., Turnpeinen, M., Kurki, T., Savia, E., Sulonen, R.: The Role of Structured Content in a Personalised News Service. In: Proceedings of the 34th Hawaii International Conference on System Sciences 2001, pp. 1–10 (2001)Google Scholar
  11. 11.
    Ardissono, L., Console, L., Torre, I.: An Adaptive System for the Personalised Access to News. In: AI Communications, vol. 14, pp. 129–147 (2001)Google Scholar
  12. 12.
    Tan, A.-H., Teo, C.: Learning User Profiles for Personalised Information Dissemination. In: Proceedings of International Joint Conference on Neural Network, pp. 183–188 (1998)Google Scholar
  13. 13.
    The Protégé Ontology Editor and Knowledge Acquisition System, Available online at: http://protege.stanford.edu
  14. 14.
    Arjona, J., Corchuelo, R., Ruiz, A., Toro, M.: Automatic Extraction of Semantically-Meaningful Information from the Web. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 24–35. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  15. 15.
    Kay, J., Lum, A., Apted, T.: Supporting Metadata Creation with an Ontology Built from an Extensible Dictionary. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 4–13. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Jena Semantic Web Framework, Available online at: http://jena.sourceforge.net/
  17. 17.
    RDQL, A Query Language for RDF, Available online at: http://www.w3.org/Submission/2004/SUBM-RDQL-20040109/
  18. 18.
    Kalfoglou, Y., Domingue, J., Motta, E., Vargas-Vera, M., Shum, S.B.: MyPlanet: An Ontology-Driven Web-Based personalised news service. In: Proceedings IJCAI 2001 Workshop on Ontologies and Information Sharing, Seattle USA, pp. 140–148 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Owen Conlan
    • 1
  • Ian O’Keeffe
    • 1
  • Shane Tallon
    • 1
  1. 1.Knowledge and Data Engineering Group, Department of Computer ScienceTrinity CollegeIreland

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