In this paper a classification of adaptive hypermedia systems is presented. Advantages and disadvantages of these systems are also discussed. As a consequence, the need of evolution is argued. An adaptive and evolving hypermedia system is presented and outlined, where the user model is formalized by means of Petri Nets. Finally, an example shows how in our proposal the user model is initialized and updated during the browsing and how adaptation is carried out over the conceptual structure of navigation. © 2002 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Medina-Medina, N., García-Cabrera, L., Rodríguez-Fortiz, M. J., & Parets-Llorca, J. (2002). Adaptation in an evolutionary hypermedia system: Using semantic and Petri Nets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2347 LNCS, pp. 284–295). Springer Verlag. https://doi.org/10.1007/3-540-47952-x_30
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