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Enhancing Learning Object Repositories with Ontologies

Authors :
Rosa Maria Vicari
André Rolim Behr
José Cascalho
Paulo Trigo
Luís Cavique
Armando B. Mendes
Luiz Henrique Longhi Rossi
Paulo Novo
Hélia Guerra
Source :
Advances in Intelligent Systems and Computing ISBN: 9783030726539, WorldCIST (4)
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

In this paper, we present a review on the use of ontologies in learning object repositories systems for searching and suggestion purposes, considering its adoption for the seaThings project that aims to promote the ocean literacy. We also describe the use case of the Cognix system and Agent-based Learning Objects - OBAA metadata standard for learning objects which is being implemented on a new learning objects repository. This system includes concepts from arti cial intelligence such as agents and ontologies that aim to improve the search and so making the system more responsive. This paper also sugests how an ontology can be implemented, using metadata in learning object repositories to provide relevant aspects, such as interoperability, reuse, and searching. info:eu-repo/semantics/publishedVersion

Details

ISBN :
978-3-030-72653-9
ISBNs :
9783030726539
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783030726539, WorldCIST (4)
Accession number :
edsair.doi.dedup.....31d23d954fa9c37539a34cfbe188fcbf
Full Text :
https://doi.org/10.1007/978-3-030-72654-6_44