Weaving Social E-Learning Platforms Into the Web of Linked Data
نویسندگان
چکیده
In this paper we present an approach for interlinking and RDFising social e-Learning Web 2.0 platforms like ELGG based on semantic tagging and Linked Data principles. A special module called SID (Semantically Interlinked Data) was developed to allow existing tagged and published user generated content an easy entrance into the Web of Data and to enrich it semantically on the other hand. Our approach uses commonly known vocabularies (FOAF, SIOC, MOAT and Tag Ontology) for modelling and generation tasks along with DBPedia as reference dataset for interlinking.
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تاریخ انتشار 2009