With the emergence of Linked Data principles for achieving web-scale interoperability, and the increasing uptake of open educational content across institutions, Linked Data (LD) is playing an important role in exposing and sharing open educational content on the web. The growing use of the internet has modified quickly our learning habits. Learning in the medical field is unique in its nature. The educational objects are of various types and should be published by trustworthy organizations. Therefore, medical students and educators face difficulties locating educational objects across the web. To address this problem, we propose a data model for describing educational medical objects harvested from the World Wide Web (WWW) published in Linked Data format. To reduce the burden of navigating through the overwhelming amount of information on the web, we provide a harvesting engine for collecting metadata objects from specified repositories. Then, the harvested educational objects’ metadata are represented in our proposed data model named Linked Educational Medical Objects (LEMO). Further enrichment is applied on the metadata records by annotating the textual elements of the records using biomedical ontologies in order to build dynamic connections between the objects. In this paper, we present the framework proposing the data model LEMO along with its implementation and experiments conducted.
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- A Framework for Linking Educational Medical Objects: Connecting Web2.0 and Traditional Education
Reem Qadan Al Fayez
- Springer International Publishing
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