This paper introduces the notion of the education graph, a conceptual representation of the resources and interconnections at the heart of the learning process. We present our latest work on the Talis Aspire family of products that, through the use of Linked Data principles and technologies, enables the assembly and application of a rich education graph based on learning resources used in tens of UK universities. Techniques for entity extraction and reconciliation across data sources are presented, in addition to descriptions of recommendation generation from portions of this education graph.
Keywords: education graph, education, learning, linked data, semantic web, teaching
Resource URI on the dog food server: http://data.semanticweb.org/workshop/lile/2012/paper/20
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