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April 22, 2016 by Gary Price

Update on PLOS Work in Linked Data

April 22, 2016 by Gary Price

From a PLOS Tech Blog Post:

Late last year we published a blog post in these pages – “PLOS and DBpedia – an experiment towards Linked Data” – where we recounted our first cautious steps in exploring how we might relate PLOS Subject Area terms to related concepts outwith the PLOS publishing platform. Delightfully, several people were interested in this attempt and contacted us with thought-provoking questions and suggestions.
Meanwhile, as a consequence of a meet-up of the Crossref Taxonomy Interest Group ….
….we became aware of the nature.com ontologies publishing portal and, having made contact with Tony Hammond (Data Architect, Springer Nature) we met to discuss possible ways forward.
Out of this meeting a plan arose:
• The NPG ontologies are already part of the semantic web by virtue of their relationship to DBpedia and MeSH, as shown in their Subjects Ontology diagram.
• NPG wish to explore establishing linking relationships between their Subject Area terms and ours at PLOS.
• If we were to enable this link to NPG to be made, not only would that would be useful in itself but, by virtue of those links, we could become part of the semantic web due to NPG links-through to DBpedia and MeSH.
• The world would then have another route into PLOS content.

More (About 700 Words and Images) in the Complete Blog Post
 

Filed under: Data Files, News, PLOS, Publishing, Springer Nature

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About Gary Price

Gary Price (gprice@gmail.com) 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.

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