Towards a Semantic Web Solution Based on a JSON-LD Mapping Mechanism for an Adaptive Learning System with Experience API
| Autor: | Mouad Banane, Rachid Dehbi, Abdellah Bakhouyi, Mohemed Talea, Amine Dehbi |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Interoperability 020206 networking & telecommunications 02 engineering and technology computer.file_format JSON World Wide Web Metadata 0202 electrical engineering electronic engineering information engineering Adaptive learning Web resource RDF computer JSON-LD Semantic Web computer.programming_language |
| Zdroj: | 2020 2nd International Conference on Computer and Information Sciences (ICCIS). |
| Popis: | New technologies represent a major opportunity for massive development of access to knowledge for everyone at any time of their life. The progressive expansion of mobile learning has changed the manner of learning. With the spreading reputation of using mobile equipment, mobile learning has grown into important in learning and teaching in higher education. LMS provide most m-learning services. On the other hand, Semantic Web Technologies offers standards as RDF allows describing Web resources with their metadata, this need to push the e-Learning community to seek new approaches to enhance this interoperability of online learning system. We propose in this work a semantic web solution aimed at transforming JSON format declarations into RDF format using the JSON-LD mapping mechanism on LRS System to resolve the problem of the heterogeneity of e-learning content. |
| Databáze: | OpenAIRE |
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