Metadata Extraction from Open edX Online Courses Using Dynamic Mapping of NoSQL Queries

Dmitry Mouromtsev, Aleksei Romanov, Dmitry Volchek, Fedor Kozlov

Abstract: The paper describes use cases and architecture of the course extraction plugin for the Open edX platform build upon Linked Open Data. The issue of frequent repetitions of educational materials within the MOOC and relativity of recommendation tools for course developers is considered. Comprehensive review of the designed ontology and mapping, as well as evaluation using test courses are given. The last part of the paper discusses new possibilities and opportunities for the future work.