Conception and Use of Ontologies for Indexing and Searching by Semantic Contents of Video Courses

TL;DR

This paper proposes a model for pedagogical knowledge to improve indexing and semantic search in educational videos, addressing the challenge of retrieving relevant segments based on semantic queries.

Contribution

It introduces a novel pedagogical knowledge model for indexing and searching educational videos using semantic content analysis.

Findings

Experimental results demonstrate the approach's promise.

Semantic search accuracy improves with the proposed model.

Abstract

Nowadays, the video documents like educational courses available on the web increases significantly. However, the information retrieval systems today can not return to the users (students or teachers) of parts of those videos that meet their exact needs expressed by a query consisting of semantic information. In this paper, we present a model of pedagogical knowledge of current videos. This knowledge is used throughout the process of indexing and semantic search segments instructional videos. Our experimental results show that the proposed approach is promising.