Resources Indexation-Based E-Learning System
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
We propose in this article a study that illustrates the techniques used to represent the educational objects which serve to facilitate their reuse. We will enrich this study by taking into account the semantics of the contents of the learning objects while including the metadata as parameters of indexing. Another contribution of our study concerns the fact that this indexation relies on ontologies which allow a better semantic representation and facilitate communication between the machine and the users. On the other hand, we will discuss the current standards of indexing while discussing the cases of their use to try to extend the use of these standards in other situations requiring the indexing of resources in E Learning systems.
Authors and Affiliations
Ibtissam Azzi, Abdelhay Radouane, Adil Jeghal, Hamid Tairi
Keywords
Related Articles
- EP ID EP308331
- DOI 10.14738/tmlai.54.2967
- Views 43
- Downloads 0
On Modified Self Organizing Feature Maps
This paper presents optimization of self-organizing feature maps by adjusting tunable parameters and in the iterative process by utilizing linear algebra concepts. A gradient rule is applied on the weights matrix singula...
MEC towards 5G: A Survey of Concepts, use Cases, Location Tradeoffs
In recent years, there has been a new trend to push everything to a centralized cloud, triggered by virtualization and pushed by the need to reduce costs and increase suppleness. In the process, mobile operators and indu...
IoT Middleware Architecture based on Ontologies to Model Logistic Process
In recent years, the Internet of Things (IoT) become a promising topic of technical social and economic significance, especially with the high number of developed sensors and technologies. Logistic applications are a per...
Application of Hybrid Machine Learning to Detect and Remove Malware
Anti-malware software traditionally employ methods of signature-based and heuristic-based detection. These detection systems need to be manually updated with new behaviors to detect new, unknown, or adapted malware. Our...
Harmonic Rule for Measuring the Facial Similarities among Relatives
The harmonic rule is a strategy used to measure the harmonic distance between any pair of images. The images have been trained and tested on individual pair of facial images respectively. The facial images have been trai...