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Web Service to Retrieve and Semantically Enrich Datasets for Theses From Open Educational Repositories

Authors :
Maria Auxilio Medina Nieto
Paulo Daniel Vazquez Mora
Jorge De La Calleja Mora
Mireya Tovar Vidal
Eduardo Lopez Dominguez
Delia Arrieta Diaz
Ismael Everardo Barcenas Patino
Source :
IEEE Access, Vol 8, Pp 171933-171944 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The paper describes the design and implementation of a semantic web service that retrieves theses and extends the keyword based-search of a DSpace repository taking into account the roles of advisors and steering committee members formally represented into a custom-made ontology. The service uses SPARQL queries and the serialization module of RDF DSpace, this links the item submission process and the ontology, thus the more theses are added into a repository, the more instances are inserted into the ontology. The paper provides empirical insights about how to reuse theses metadata and includes the results of an exploratory and self-management survey of usability heuristic evaluation of a web site that enables to access the proposed service. Heuristics were estimated with a purposive sample of students, teachers, and managers, the results indicated a high satisfaction level and showed that the service increased theses accessibility in the web environment. The service also generates semantically enriched datasets that coexist with the repository, they are of utility and value to educational organizations as they give institutional visibility.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.b99e1dd2f44475794c4ae2ee918e981
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.3024614