The Personal Reader: Personalizing and Enriching Learning Resources Using Semantic Web Technologies

  • Peter Dolog
  • Nicola Henze
  • Wolfgang Nejdl
  • Michael Sintek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3137)


Traditional adaptive hypermedia systems have focused on providing adaptation functionality on a closed corpus, while Web search interfaces have delivered non-personalized information to users. In this paper, we show how we integrate closed corpus adaptation and global context provision in a Personal Reader environment. The local context consists of individually optimized recommendations to learning materials within the given corpus; the global context provides individually optimized recommendations to resources found on the Web, e. g., FAQs, student exercises, simulations, etc. The adaptive local context of a learning resource is generated by applying methods from adaptive educational hypermedia in a semantic web setting. The adaptive global context is generated by constructing appropriate queries, enrich them based on available user profile information, and, if necessary, relax them during the querying process according to available metadata.


adaptive hypermedia personalization adaptive web semantic web reasoning rules querying the semantic web 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Baumgartner, R., Flesca, S., Gottlob, G.: Declarative information extraction, web crawling, and recursive wrapping with lixto. In: 6th International Conference on Logic Programming and Nonmonotonic Reasoning, Vienna, Austria (2001)Google Scholar
  2. 2.
    Bra, P.D., Houben, G.-J., Wu, H.: AHAM: A dexter-based reference model for adaptive hypermedia. In: ACM Conference on Hypertext and Hypermedia, Darmstadt, Germany, pp. 147–156 (1999)Google Scholar
  3. 3.
    Brusilovsky, P., Nijhawan, H.: A framework for adaptive e-learning based on distributed re-usable learning activities. In: Proceedings of World Conference on E-Learning, E-Learn 2002, Montreal, Canada (2002)Google Scholar
  4. 4.
    Conlan, O., Lewis, D., Higel, S., O’Sullivan, D., Wade, V.: Applying adaptive hypermedia techniques to semantic web service composition. In: International Workshop on Adaptive Hypermedia and Adaptive Web-based Systems (AH 2003), Budapest, Hungary (2003)Google Scholar
  5. 5.
    Dagger, D., Wade, V., Conlan, O.: Towards “anytime, anywhere“ learning: The role and realization of dynamic terminal personalization in adaptive elearning. In: Ed-Media 2003, World Conference on Educational Multimedia, Hypermedia and Telecommunications, Hawaii (2003)Google Scholar
  6. 6.
    Dolog, P., Henze, N., Nejdl, W., Sintek, M.: Personalization in distributed e-learning environments. In: Proc. of WWW 2004 — The Thirteenth International World Wide Web Conference (May 2004)Google Scholar
  7. 7.
    Ehrig, M., Maedche, A.: Ontology-focused crawling of Web documents. In: Proc. of the 2003 ACM symposium on Applied computing, Melbourne, Florida (2003)Google Scholar
  8. 8.
    Frasincar, F., Houben, G.: Hypermedia presentation adaptation on the semantic web. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, p. 133. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  9. 9.
    Guha, R., McCool, R., Miller, E.: Semantic search. In: WWW2003 — Proc. of the 12th international conference on World Wide Web, pp. 700–709. ACM Press, New York (2003)Google Scholar
  10. 10.
    Henze, N., Nejdl, W.: Logically characterizing adaptive educational hypermedia systems. In: International Workshop on Adaptive Hypermedia and Adaptive Web-based Systems (AH 2003), Budapest, Hungary (2003)Google Scholar
  11. 11.
    Miklos, Z., Neumann, G., Zdun, U., Sintek, M.: Querying semantic web resources using triple views. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 517–532. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  12. 12.
    Nejdl, W., Wolf, B., Qu, C., Decker, S., Sintek, M., Naeve, A., Nilsson, M., Palmér, M., Risch, T.: EDUTELLA: a P2P Networking Infrastructure based on RDF. In: Proc. of 11th World Wide Web Conference, Hawaii, USA (May 2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Peter Dolog
    • 1
  • Nicola Henze
    • 2
  • Wolfgang Nejdl
    • 1
    • 2
  • Michael Sintek
    • 3
  1. 1.L3S Research CenterHannoverGermany
  2. 2.ISI – Knowledge-Based SystemsUniversity of HannoverHannoverGermany
  3. 3.Knowledge Management DepartmentDFKI GmbHKaiserslauternGermany

Personalised recommendations