Abstract
A prototype of an open and adaptive hypertext learning environment on the Web is presented. The nodes of the hypertext system are sorted in clusters which are ordered on a map by a self organizing neural network. This map represents the Information Domain Model on which an overlay model of the learning goal and of the user knowledge is built up. The User Model is made up of a user knowledge model and a preference model that takes into account the user’s attitude to approaching the information necessary to achieve the learning goal. The Information Domain Model allows users to add new documents to the system that are ordered by the neural network in the appropriate clusters. This maintains the consistency of the User Model and of the learning goal when the number of documents grows.
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References
Allan J.: Automatic Hypertext Link Typing. In Proc. of ACM Hypertext 96, Washington DC. March 16–20 (1996)
Aßfalg, R.: The Proceedings of the Workshop on Open Hypertext Systems, May (1994)
Brusilovsky P., Eklund J.: A Study of User Model Based Link Annotation. In Educational Hypermedia, Journal of Universal Computing Science, 4(4), Springer Pub. Co. (1998)
Brusilovsky P. et al (eds.): Adaptive Hypertext and Hypermedia. Kluwer Academic Publisher, (1998)
Corrao, R., Fulantelli, G.: The Web to Support Creative Design in Architecture. In proc. AVOCAAD, Brussels-Ghent, Belgium, (1999)
De Bra P., Calvi L.: AHA: a Generic Adaptive Hypermedia System. In Proc. of the 2nd Workshop on Adaptive Hypertext and Hypermedia, Pittsburgh, USA, June 20–24, (1998)
Hall W.: Ending the Tyranny of the Button. IEEE Multimedia 1(1), Spring 1994, 60–68
Kohonen T.: Self-Organizing Maps. Springer, Berlin, Heidelberg, (1995)
Lin X., Soergel D., Marchionini G.: A Self-Organizing Semantic Map for Information Retrieval. In Proc. of the 14th Annual International ACM/SIGIR Conf. on Research and Development in Information Retrieval (Chicago IL, Oct. 13–16, 1991)
McTear M.F.: User modelling for adaptive computer systems: a survey of recent developments. Artificial Intelligence Review 7, Kluwer Academic Publishers (1993)
Rizzo R., Allegra M., Fulantelli G.: Developing Hypertext through a Self-Organizing Map. In Proc. of AACE WebNet 98, (Orlando Nov. 6–12, 1998).
Salton G., Allan j., Buckel C: Automatic Structuring and Retrieval of Large Text Files, Communications of ACM, 37(2), (1994), 97–108
Tomek I., Maurer H.: Helping the User to Select a Link. Hypermedia, 4(2), (1992) 111–122
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© 2000 Springer-Verlag Berlin Heidelberg
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Fulantelli, G., Rizzo, R., Arrigo, M., Corrao, R. (2000). An Adaptive Open Hypermedia System on the Web. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2000. Lecture Notes in Computer Science, vol 1892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44595-1_35
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DOI: https://doi.org/10.1007/3-540-44595-1_35
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