New and Informative Briefing Report: “What is Schema.org”
Published yesterday by Cetis (Centre for Educational Technology, Interoperability and Standards) based in UK.
From the Report:
“What is schema.org?” describes the schema.org specification for a technical audience. It is aimed at people who may want to use schema.org markup in websites or other tools, and who wish to know more about the technical approach behind schema.org and how to implement it. As such, it has relevance beyond our work in supporting LRMI [Learning Resource Metadata Initiative], and we hope it will be of interest to anyone describing resources on the web, whether these are educational resources or not. Additional briefings providing an in-depth technical overview of LRMI will follow.
This briefing has been produced as part of the Learning Resource Metadata Initiative (LRMI), which is concerned with extending and applying schema.org to the description of educationally relevant properties of resources. Other briefings in this series will provide an in-depth overview of LRMI.
About the Authors
This paper has been written by Phil Barker and Lorna M Campbell who lead Cetis’ work on LRMI. Phil has been involved in the LRMI technical working group since its inception in Summer 2011. He and Lorna each have over ten years experience in the creation and implementation of learning resource metadata standards and in semantic technologies for resource description.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.