Conception d'un outil d'aide \`a l'indexation de ressources p\'edagogiques - Extraction automatique des th\'ematiques et des mots-clefs de documents UNIT

TL;DR

This paper introduces an innovative model that automates the extraction of key themes and keywords from educational documents to assist archivists, utilizing Wikipedia's category links for improved indexing efficiency.

Contribution

The paper presents a novel automatic method for extracting themes and keywords from learning resources, reducing manual effort in metadata indexing.

Findings

Automated extraction of themes and keywords achieved.

Utilization of Wikipedia's category links enhances accuracy.

Reduces manual workload for archivists.

Abstract

Indexing learning documents using the Learning Object Metadata (LOM) is often carried out manually by archivists. Filling out the LOM fields is a long and difficult task, requiring a complete reading and a full knowledge on the topic dealt within the document. In this paper, we present an innovative model and method to assist the archivists in finding the important concepts and keywords of a learning document. The application is performed using wikipedia's category links.