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Towards Automated Navigation over Multilingual Content

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Semantic Hyper/Multimedia Adaptation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 418))

Abstract

Web-based adaptive and personalized systems are becoming standards on the web. The chapter describes the main features of selected webbased adaptive systems in the domain of education, and summarizes the architecture of such systems. One of the representatives of web-based adaptive personalized systems is described in more detail, XAPOS, designed and developed by the authors. XAPOS’s design is independent of the language of closed content and was used in a multilingual environment. XAPOS’s language-independent navigation feature is based on the domain ontology and principles of semantic web. We conducted a controlled experiment in an educational course of programming language Lisp in universities in Ostrava, Czech Republic, and Ankara, Turkey; results of two groups of users navigated using our algorithm as well as the standard one, and are compared and discussed in detail.

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References

  1. Aroyo, L., Dolog, P., Houben, G., Kravcik, M., Naeve, A., Nilsson, M., Wild, F.: Interoperability in Personalized Adaptive Learning. Educational Technology & Society 9(2), 4–18 (2006)

    Google Scholar 

  2. Barla, M., Bieliková, M.: Ordinary Web Pages as a Source for Metadata Acquisition for Open Corpus User Modeling. In: Proc. of IADIS WWW/Internet 2010, pp. 227–233. IADIS Press (2010)

    Google Scholar 

  3. Brusilovsky, P.: Methods and techniques of adaptive hypermedia. In: User Modeling and User-Adapted Interaction, pp. 87–129. Kluwer Academic Publishers (1996)

    Google Scholar 

  4. Brusilovsky, P.: Adaptive hypermedia. In: User Modelling and User Adapted Interaction, vol. 11(1), pp. 87–110 (2001)

    Google Scholar 

  5. De Bra, P., Calvi, L.: Aha! an open adaptive hypermedia architecture. The New Review of Hypermedia and Multimedia 1(4), 115–139 (1998)

    Article  Google Scholar 

  6. De Bra, P., Houben, G.J., Wu, H.: AHAM: A Dexter-based Reference Model for Adaptive Hypermedia. In: Proceedings of the ACM Conference on Hypertext and Hypermedia, pp. 221–239 (1999)

    Google Scholar 

  7. De Bra, P., Aerts, A., Smits, D., Stash, N.: AHA! Meets AHAM. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 388–391. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  8. De Bra, P., Smits, D., Stash, N.: The Design of AHA! In: Proceedings of the seventeenth ACM Conference on Hypertext and Hypermedia, pp. 133–134 (2006)

    Google Scholar 

  9. Smits, D., De Bra, P.: GALE: A Highly Extensible Adaptive Hypermedia Engine. In: Proceedings of the Seventeenth ACM Conference on Hypertext and Hypermedia, pp. 63–72 (2006)

    Google Scholar 

  10. Dicheva, D., Dichev, C.: Helping Courseware Authors to Build Ontologies: the Case of TM4L. In: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work, pp. 77–84 (2007)

    Google Scholar 

  11. Fortuna, B., Mladenič, D., Grobelnik, M.: Semi-automatic Construction of Topic Ontologies. In: Ackermann, M., Berendt, B., Grobelnik, M., Hotho, A., Mladenič, D., Semeraro, G., Spiliopoulou, M., Stumme, G., Svátek, V., van Someren, M. (eds.) EWMF 2005 and KDO 2005. LNCS (LNAI), vol. 4289, pp. 121–131. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Henze, N.: Personal Readers: Personalized Learning Object Readers for the Semantic Web. In: Proceeding of the 12th International Conference on Artificial Intelligence in Education (AIED 2005), pp. 15–22 (2005)

    Google Scholar 

  13. Holub, M., Bieliková, M.: An Inquiry into the Utilization of Behavior of Users in Personalized Web. Journal of Universal Computer Science 17(13), 1830–1853 (2011)

    Google Scholar 

  14. Jovanovic, J., Gašević, D., Devedžić, V.: TANGRAM for Personalized Learning Using the Semantic Web Technologies. Journal of Emerging Technologies in Web Intelligence 1(1), 6–21 (2009)

    Article  Google Scholar 

  15. Kavcic, A.: The role of user models in adaptive hypermedia systems. In: 10th Mediterranean Electrotechnical Conference MEleCon 2000, pp. 119–122 (2000)

    Google Scholar 

  16. Kay, J.: The um toolkit for cooperative user modelling. In: User Modelling and User-Adapted Interaction, pp. 149–196 (1995)

    Google Scholar 

  17. Kay, J.: Stereotypes, Student Models and Scrutability. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 19–30. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  18. Kobsa, A.: User modeling: Recent work, prospects and hazards. In: Schneider-Hufschmidt, M., Kühme, T., Malinowski, U. (eds.) Adaptive user interfaces: Principles and practice, pp. 111–128 (1993)

    Google Scholar 

  19. Kompan, M., Bieliková, M.: Content-Based News Recommendation. In: Buccafurri, F., Semeraro, G. (eds.) EC-Web 2010. LNBIP, vol. 61, pp. 61–72. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  20. Nebel, I., Smith, B., Paschke, R.: A user profiling component with the aid of user ontologies. In: Workshop Learning, Teaching, Knowledge, Adaptivity (2003)

    Google Scholar 

  21. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank Citation Ranking: Bringing Order to the Web. Technical Report, Stanford InfoLab (1999)

    Google Scholar 

  22. Rich, E.: User modeling via stereotypes. In: Readings in Intelligent user Interfaces, pp. 329–342. Morgan Kaufmann Publishers Inc. (1998)

    Google Scholar 

  23. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing & Management 24(5), 513–523 (1988)

    Article  Google Scholar 

  24. Šaloun, P., Velart, Z.: Concept Space Rating for Personalization of Learning Materials Based on Relations. In: Proc. of 4th International Workshop on Semantic Media Adaptation and Personalization, SMAP 2009, pp. 67–72 (2009)

    Google Scholar 

  25. Šaloun, P., Velart, Z., Nekula, J.: Navigation over Multilingual Content using one Concept Space: Controlled Experiment. In: Fifth International Workshop on Semantics Media Adaptation and Personalization SMAP 2010, pp. 1–6 (2010)

    Google Scholar 

  26. Šimko, M., Bieliková, M.: Automated Educational Course Metadata Generation Based on Semantics Discovery. In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 99–105. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  27. Šimko, M., Barla, M., Bieliková, M.: ALEF: A Framework for Adaptive Web-Based Learning 2.0. In: Reynolds, N., Turcsányi-Szabó, M. (eds.) KCKS 2010. IFIP AICT, vol. 324, pp. 367–378. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  28. Sosnovsky, S., Brusilovsky, P., Lee, D.H., Zadorozhny, V., Zhou, X.: Re-assessing the Value of Adaptive Navigation Support in E-Learning Context. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 193–203. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  29. Tiňo, P., Polčicová, G.: Topographic organization of user preference patterns in collaborative filtering. Neural Network World 13(3), 311–324 (2003)

    Google Scholar 

  30. van Meteren, R., van Someren, M.: Using content-based filtering for recommendation. In: Potamias, G., Moustakis, V., van Someren, M. (eds.) ECML/MLNET Workshop on Machine Learning and the New Information Age, pp. 47–56 (2000)

    Google Scholar 

  31. Yudelson, M., Brusilovsky, P., Sosnovsky, S.: Acessing Interactive Example with Adaptive Navigation Support. In: Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2004), pp. 842–843 (2004)

    Google Scholar 

  32. Yudelson, M., Gavrilova, T., Brusilovsky, P.: Towards User Modeling Meta-ontology. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 448–452. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

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Šaloun, P., Velart, Z., Nekula, J. (2013). Towards Automated Navigation over Multilingual Content. In: Anagnostopoulos, I., Bieliková, M., Mylonas, P., Tsapatsoulis, N. (eds) Semantic Hyper/Multimedia Adaptation. Studies in Computational Intelligence, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28977-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-28977-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28976-7

  • Online ISBN: 978-3-642-28977-4

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