Description of educational resources from open repositories using semantic technologies

Tracking #: 2461-3675

This paper is currently under review
Maria Auxilio Medina
Jorge de la Calleja Mora
Eduardo López Domínguez
Ismael Everardo Bárcenas Patiño
Delia Arrieta Díaz
Araceli Ortiz Carranco

Responsible editor: 
Tania Tudorache

Submission type: 
Full Paper
This paper presents a process to describe educational resources from open repositories, the goal is to provide the foundations for the deployment of semantic web services of shared interest to managers, developers and users within educational organizations. The stages of the process use semantic technologies, for example, ontologies that models users, resources and their properties found in Mexican institutional repositories according to three calls to construct repositories promoted by the National Council of Science and Technology in Mexico. These ontologies are written in English and Spanish languages, they enable the establishment of a common vocabulary that reduces ambiguity and allows users to attend their specific information needs and support knowledge acquisition from the repositories domain. These ontologies reuse the foaf, and skos vocabularies and their scope is limited by a set of competency questions. The paper suggests practical applications derived from the formalisms of ontologies such as working with incomplete information and describes the implementation of an ontological assessment method; subjects were organized in two groups: managers - developers and users. The first group followed a competency questions-based approach and determined by using SPARQL queries that the ontologies are able to represent questions and answers using its own terminology; whereas the second group participated in an exploratory and self-management survey, perceptions and opinions were gathered in questionnaires. The results showed positive attitude of users to promote ontologies. The process is of value as this fosters unique and formal definitions of concepts. A second type of impact is that this enables the construction of machine readable datasets that describe and enrich educational resources.
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