The aim of this paper is to present an initiative of application of the Linked Data principles to promote data interoperability between heterogeneous OpenCourseWare (OCW) repositories and to enhance the search and discovery of contents created and shared by the universities. Design/methodology/approach This paper is a case study of how Linked Data technologies can be applied for the enhancement of open learning contents. Findings Results presented under the umbrella of OpenCourseWare Consortium (OCWC) and OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that Linked Data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the Linked Open Data Cloud. Originality/value The new OCW integration with Linked Data adds new features to the initial framework including improved query mechanisms and interoperability. * OCW-Universia promotes and disseminates the OCW concept in Ibero-America. Consuming and producing linked open data: the case of OpenCourseWare 3
Abstract-Open Educational Resources include a diverse range of materials making it the most representative icon arisen within the Open Content movement. Users who access and use OERs could be classified into one of these three groups: instructor, student and self-learner. To provide personalized lists of OERs according to the user profile and personal preferences, the user should be characterized by an open and scalable model. In this paper, an open linked vocabulary is proposed to describe user profiles of the open educational resources, which take into account the challenges and opportunities that an open and extensible platform as the Web can provide to learn about the OER users, and from this knowledge, offer the most appropriate resources.
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