Pedagogical Resources Indexation Based on Ontology in Intelligent Recommendation System for Contents Production in d-Learning Environment
| Autor: | B. Faqihi, Rachida Ajhoun, Najima Daoudi, Imane Hilal |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer Networks and Communications Computer science Learning environment Search engine indexing 02 engineering and technology Recommender system Reuse Ontology (information science) Field (computer science) Task (project management) World Wide Web 020901 industrial engineering & automation Resource (project management) Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Ontology 020201 artificial intelligence & image processing Software |
| Zdroj: | Journal of Computer Science. 16:936-949 |
| ISSN: | 1549-3636 |
| DOI: | 10.3844/jcssp.2020.936.949 |
| Popis: | We witness, today, a strong evolution of learning environments. In parallel, a problem has emerged, consisting in how to capitalize the production of resources when switching from one environment to another. The heterogeneity of the environments, the evolution of the platforms and the will to reuse the educational resources already produced pushed us to design an intelligent system based on cases. In this study, we will focus on the need for resource indexing to facilitate the task of researching and recommending educational resources for authors regardless of the learning environment used. In the literature, this representation can take two forms: Standards or ontologies. The use of standards has partially solved our problem since it is very beneficial for systems that are under construction. On the other hand, it is more interesting to go through the ontologies for systems that are already designed, that we wish to reuse, especially for those that have shown, through the authors, a great satisfaction in the field of knowledge management. Indeed, their use does not require an investment in the environments concerned by the reuse. |
| Databáze: | OpenAIRE |
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