Towards Embedded Markup of Learning Resources on the Web: An Initial Quantitative Analysis of LRMI Terms Usage
Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
linked data for education; lrmi; schema.org; web data commons
List of contributors: