In April In April for its DOIs. At the time I cheekily called-out DataCite to start supporting content negotiation as well.
Edward Zukowski (DataCite’s resident propellor-head) took up the challenge with gusto and, as of September 22nd DataCite has also been supporting content negotiation for its DOIs. This means that one million more DOIs are now linked-data friendly. Congratulations to Ed and the rest of the team at DataCite.
We hope this is a trend.
Today I’m announcing a small web API that wraps a family name database here at Crossref R&D. The database, built from Crossref’s metadata, lists all unique family names that appear as contributors to articles, books, datasets and so on that are known to Crossref. As such the database likely accounts for the majority of family names represented in the scholarly record.
The web API comes with two services: a family name detector that will pick out potential family names from chunks of text and a family name autocompletion system.
So does anybody remember the posting DOIs and Linked Data: Some Concrete Proposals?
Well, we went with option “D.”
From now on, DOIs, expressed as HTTP URIs, can be used with content-negotiation.
Let’s get straight to the point. If you have curl installed, you can start playing with content-negotiation and Crossref DOIs right away:
curl -D - -L -H “Accept: application/rdf+xml” “http://dx.doi.org/10.1126/science.1157784”
curl -D - -L -H “Accept: text/turtle” “http://dx.
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While working on an internal project, we developed “pdfstamp“, a command-line tool that allows one to easily apply linked images to PDFs. We thought some in our community might find it useful and have released it on github. Some more PDF-related tools will follow soon.
Just a quick heads-up to say that we’ve had a go at incorporating InChIs and ontology terms into our PDFs with XMP. There isn’t a lot of room in an XMP packet so we’ve had to be a bit particular about what we include.
InChIs: the bigger the molecule the longer the InChI, so we’ve standardized on the fixed-length InChIKey. This doesn’t mean anything on its own, so we’ve gone the Semantic Web route of including an InChI resolver HTTP URI.
Since I’ve already blogged about this a number of times before here, I thought I ought to include a link to a fuller writeup in this month’s D-Lib Magazine of our nature.com OpenSearch service which serves as a case study in OpenSearch and SRU integration:
(Click image for full size graphic.)
I thought I could take this opportunity to demonstrate one evolution path from traditional record-based search to a more contemporary triple-based search. The aim is to show that these two modes of search do not have to be alternative approaches but can co-exist within a single workflow.
Let me first mention a couple of terms I’m using here: ‘graphs’ and ‘properties’. I’m using ‘property’ loosely to refer to the individual RDF statement (or triple) containing a property, i.
Since last month’s threads (here, here, here and here) talking about the issues involved in making the DOI a first-class identifier for linked data applications, I’ve had the chance to actually sit down with some of the thread’s participants (Tony Hammond, Leigh Dodds, Norman Paskin) and we’ve been able sketch-out some possible scenarios for migrating the DOI into a linked data world.
I think that several of us were struck by how little actually needs to be done in order to fully address virtually all of the concerns that the linked data community has expressed about DOIs.
(This post is just a repost of a comment to Geoff’s last entry made because it’s already rather long, because it contains one original thought - FRBR as OSI - and because, well, it didn’t really want to wait for moderation.)
First off, there is no question but that Crossref was established to take on the reference linking challenge for scholarly literature. (Hell, it’s there, as you point out, in the organization name - PILA - as well as in the application name - Crossref.