Pearson initiates this community group proposal with the W3C with the goal of facilitating and creating a curated subset of Wikipedia data that can be used for tagging educational content.
• Build a SUBJECT database from a curated subset of Wikipedia (DBpedia) that can be used by institutions, instructors, and students, to tag educational resources.
• Create a website presence similar to OpenCorporates (http://opencorporates.com/) with API’s for reconciling with Google Refine. Provide tutorials on how to use Google Refine to access the datasets. Make access to the data easy.
• Build relations and bridges to at least 3 existing open linked datasets.
• Provide SPARQL endpoints for data
• Prepare and built out to 5-Star linked data (RDF/XML/JSON/schema.org)
We’re hoping to have something to show the group by the end of this month. We’ll also be reaching out to our esteemed colleagues on this group to help guide and advise as we converge with other vocabulary sets.
Thank you again for your participation. I look forward to hearing from you.
Thank you for participating with the Open Linked Education Data Community Group. In going over some of our goals with esteemed colleagues at W3C, I’m told that our ambitions are unprecedented for Open Linked Data. Curating Open Data and releasing shareable vocabularies that can be used for tagging learning resources hasn’t been done before I’m told, though it seems so obvious that I find it hard to believe. This shall be exciting then.
A quick update:
Chris Sizemore, BBC Online Learning has agreed to be my Co-Chair.
Pearson has agreed to host the first triple store in a secured database. I will forward the URL as soon as it is established. We won’t include the name of Pearson on the URL, not to worry
Chris and I would like to start out by attempting to converge and harmonize a few vocabulary sets. We suggested merging subject vocabularies from the following:
UK Dept. of Education
Pearson Higher Education subject taxonomies
BBC Online Learning Curriculum-based subject terms
The challenges here will be significant: persistant IDs, retaining links to DBpedia or Freebase, identifying differing editorial interpretations, disambiguation, etc.
We will share our progress and will come to the group to help us with each step along the way.
Thank you again. I look forward to working with you all.