Linguistic resources and fuzzy algebra in adaptive hypermedia systems

In this paper we formalize the representation and management of fuzzy hypermedia, linguistic resource and psycho-cognitive profile of the user by describing a consistent fuzzy-based approach to user profiling. Our model uses a correspondence between the content of information in the hypermedia domain and representation of the users. The stereotype users and the real users are represented by type-2 fuzzy sets. The domain of the latter is the set of nodes of the hypertext whereas the range are the terms of a t-uple of linguistic variables used in the definition of the users’s features. Keeping in mind the initial representation of the user, the current state and the choices done by him/her during the navigation in the hypermedia, the user model dynamically updates the representation of the real users, realizing full adaptivity with respect both to the presentation and to the navigation. The adaptivity function is constructed by means of a commutative monoid, whose support set is just the set of stereotypes.

[1]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[2]  Mayer D. Schwartz,et al.  The Dexter Hypertext Reference Model , 1994, CACM.

[3]  Enrico Fischetti,et al.  A Fuzzy-Based Approach to Stereotype Selection in Hypermedia , 1999, User Modeling and User-Adapted Interaction.

[4]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[5]  P. Lévy,et al.  Les technologies de l'intelligence : l'avenir de la pensée à l'ère informatique , 1993 .

[6]  Vincenzo Loia,et al.  A complete, flexible fuzzy-based approach to the classification problem , 1995, Int. J. Approx. Reason..

[7]  Luigi Di Lascio,et al.  A commutative l-monoid for classification with fuzzy attributes , 2001, Int. J. Approx. Reason..

[8]  Ferdinando Cicalese,et al.  Classifying through a fuzzy algebraic structure , 1996, Fuzzy Sets Syst..

[9]  Alfred Kobsa,et al.  Generic User Modeling Systems , 2001, User Modeling and User-Adapted Interaction.

[10]  Julita Vassileva,et al.  Adaptive Hypertext and Hypermedia , 1998, Springer Netherlands.

[11]  Peter Brusilovsky,et al.  Adaptive Hypermedia , 2001, User Modeling and User-Adapted Interaction.

[12]  W. Pedrycz Why triangular membership functions , 1994 .

[13]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[14]  Antonio Gisolfi,et al.  Classifying through an algebraic fuzzy structure: The relevance of the attributes , 1995, Int. J. Intell. Syst..

[15]  Hongjing Wu,et al.  AHAM: a Dexter-based reference model for adaptive hypermedia , 1999, Hypertext.

[16]  Peter Brusilovsky,et al.  Methods and techniques of adaptive hypermedia , 1996, User Modeling and User-Adapted Interaction.

[17]  Antonio Gisolfi An algebraic fuzzy structure for approximate reasoning , 1992 .

[18]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..