Dynamic Knowledge Representation for e-Learning Applications

• Type: Chapter or Part of a Book
• Date: 2004

Authors

Maria Eduarda S. Mendes (Author) FEUP; L. Sacks (Author) Other

Book

Title: Enhancing the Power of the Internet - Studies in Fuzziness and Soft Computing, Springer, vol. 139.

Pages: 255-278

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Abstract (EN): This chapter describes the use of fuzzy clustering for knowledge representation in the context of e-Learning applications. A modified version of the Fuzzy c-Means algorithm that replaces the Euclidean norm by a dissimilarity function is proposed for document clustering. Experimental results are presented, which show substantial improvement in the modified algorithm, both in terms of computational efficiency and of quality of the clusters. The robustness of this fuzzy clustering algorithm for document collections is demonstrated and its use for on-line teaching and learning in a complete end-to-end system is explored.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 24