Connecting medical educational resources to the Linked Data cloud: the mEducator RDF Schema, store and API

Evangelia, Mitsopoulou; Taibi, Davide; Giordano, Daniela; Dietze, Stefan; Yu, Hong Qing; Bamidis, Panagiotis; Bratsas, Charalampos and Woodham, Luke (2011). Connecting medical educational resources to the Linked Data cloud: the mEducator RDF Schema, store and API. In: Linked Learning 2011: 1st International Workshop on eLearning Approaches for the Linked Data Age, 8th Extended Semantic Web Conference (ESWC2011), 29 May 2011, Heraklion, Greece.

URL: http://ceur-ws.org/Vol-717/paper4.pdf

Abstract

The existence of non-interoperable metadata schemas and limited use of shared vocabularies means that retrieving and processing educational resources across the Web represents a challenge. The emerging Linked Data paradigm has provided the tools and methods to share and expose metadata in a more unified and well interlinked manner, permitting both humans and machines to process Web data. The availability of vast amounts of RDF-based Linked Data is offering a worthwhile alternative to the isolated and heterogeneous data silos which previously dominated the Web. In the ECfunded project mEducator a standardised approach is proposed to describing and exposing medical educational resources. In this paper are described firstly the design considerations, and conceptual model upon which mEducator’s metadata scheme approach was based. Afterwards, follows the description of the serialization of the scheme in RDF/XML, and in turn follows an example showing how medical educational resources are exposed on the Web using an RDF endpoint, and discuss the potential advantages of this approach.

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