Embedded markup of Web pages have emerged as a significant source of structured data on the Web. In this context, the LRMI initiative has provided a set of vocabulary terms, now part of the schema.org vocabulary, to enable the markup of resources of educational value. In this paper we present a preliminary analysis of the use of LRMI terms on the Web by assessing LRMI-based statements extracted from the Web Data Commons dataset.
Towards Embedded Markup of Learning Resources on the Web: An Initial Quantitative Analysis of LRMI Terms Usage
2016
Abstract
Embedded markup of Web pages have emerged as a significant source of structured data on the Web. In this context, the LRMI initiative has provided a set of vocabulary terms, now part of the schema.org vocabulary, to enable the markup of resources of educational value. In this paper we present a preliminary analysis of the use of LRMI terms on the Web by assessing LRMI-based statements extracted from the Web Data Commons dataset.File in questo prodotto:
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Descrizione: Towards Embedded Markup of Learning Resources on the Web: An Initial Quantitative Analysis of LRMI Terms Usage
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