An ontology-based system to dynamically extract multimedia elements for children's tutorials
Author | Aljaam, Jihad Mohamad |
Author | Mwinyi, Masoud |
Author | Elzeiny, Sami |
Author | Dandashi, Amal |
Author | Jaoua, Ali M. |
Available date | 2024-03-20T01:55:08Z |
Publication Date | 2012 |
Publication Name | 2012 2nd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2012 |
Resource | Scopus |
Abstract | Children with intellectual disabilities are very challenging to teach, and can learn best with the use of different methodologies that engage their senses, such as using images, sounds and clips. In this work, a new educational system that can generate multimedia based tutorials dynamically is proposed. This system comprises of several components; (1) using a Stemming algorithm for text processing, (2) Formal Concept Analysis for dynamic extraction of keywords, (3) Ontology based concept extraction, (4)Google API is used to query the Google Image Database and extract the required multimedia elements, which are then mapped accordingly. A database of keywords, associated synonyms and multimedia elements is built, hence every student can have his/her own database. Instructors can then update and change the contents of their tutorials speedily and efficiently. |
Language | en |
Publisher | IEEE |
Subject | disabled children dynamic multimedia tutorial formal concept analysis information extraction ontology |
Type | Conference Paper |
Pagination | 29-32 |
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Computer Science & Engineering [2288 items ]