Hello, thought you might be interested in the following paper on
the use LRMI as microdata:
A QUANTITATIVE ANALYSIS OF THE USE OF MICRODATA FOR SEMANTIC
ANNOTATIONS ON EDUCATIONAL RESOURCES.
R NAVARRETE, S LUJÁN-MORA - Journal of Web Engineering, 2018
From the abstract:
" In order to obtain a reliable evaluation of the use of Microdata properties related to the LRMI specification, accessibility, and the license of resources, this research conducted a quantitative analysis of the deployment of these properties in large-scale web corpora covering two consecutive years. The corpora contain hundreds of millions of web pages. The results further our understanding of this deployment in addition to highlighting the pending issues and challenges concerning the use of such properties. "
The data used is from 2014 and 2015
The paper has a good literature review, and identifies several issues in LRMI implementation (low uptake at that point, very little uptake of the AlignmentObject, often with mistakes, likewise errors in how other properties were used).
If you are interested in such analyses, a reminder that there is
also Stefan Dietze, Davide Taibi, Ran Yu, Phil Barker and Mathieu
d'Aquin (2017). Analysing and Improving Embedded Markup of
Learning Resources on the Web. Presented at 26th International
Conference on World Wide Web, Perth, Australia April 03 - 07, 2017
URI: http://dl.acm.org/citation.cfm?id=3054160 (open access copy at https://blogs.pjjk.net/phil/confpaper/analysing-improving-embedded-markup-learning-resources-web/ ) which is not limited to microdata.
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