Abstract:An important feature in most educational video repositories is the lack of relevant information in keywords and metadata that enables full access to videos through search engines. One of these repositories is Videoaula@RNP, for which a project was developed with a focus on the semantic enrichment of the educational videos stored there, based on audio transcription, semantic annotation and similarity analysis. This article presents this solution and the impacts generated from its application in the repository.
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