Re: Announcement: Springer Nature SciGraph - Public datasets release

 Hi S├ębastien:

Thanks for your interest in our datasets.

Note that we don't have any current plans to set up a SPARQL endpoint,
although we do intend to provide a browser for data exploration and a
data API.

We also think it would be great if someone were able to provide a
public SPARQL query facility for this data.


On Tue, Mar 14, 2017 at 12:59 PM, Sebastien Ferre
<> wrote:
> This looks a very nice dataset that may interest many to explore.
> Is there a public SPARQL endpoint, or any plan to set up one ?
> S├ębastien
> On 03/14/2017 10:26 AM, Hammond, Tony wrote:
>> We wanted to share some news from last week's press release [1] about
>> the public datasets release from Springer Nature SciGraph [2]:
>> "Springer Nature SciGraph collates information from across the
>> research landscape, such as funders, research projects and grants,
>> conferences, affiliations, and publications. Currently the knowledge
>> graph contains 155 million facts (triples) about objects of interest
>> to the scholarly domain. Additional data, such as citations, patents,
>> clinical trials, and usage numbers will follow in stages, so that by
>> the end of 2017 Springer Nature SciGraph will grow to more than 1
>> billion triples."
>> Springer Nature SciGraph is a new Linked Open Data platform
>> aggregating data sources from Springer Nature and key partners from
>> the scholarly domain.
>> The datasets are being distributed as RDF data (N-Triples format) in a
>> set of bzip2 files. These datasets comprise both SciGraph ontology and
>> instance data which includes the last five years of all Springer
>> Nature journal articles (2012-2016). It totals some 155m triples (3.7
>> GB compressed, or 32 GB uncompressed). All the data is being released
>> under a Creative Commons Attribution-NonCommercial (CC-BY-NC) 4.0
>> International License.
>> These public datasets comprise an initial snapshot taken from our
>> knowledge graph. Periodic releases will expand this data footprint
>> both in terms of size and richness of interlinked entities. For now,
>> these data points do not support dereference although we aim to add
>> support for this key piece of linked data functionality in the near
>> future.
>> A further point to note is that we use our own SciGraph ontology to
>> define types and relations. We will, however, begin to provide
>> mappings from this vocabulary to other well-known vocabularies. In the
>> current release we provide links to two external datasets: ANZSRC
>> (Australian and New Zealand Standard Research Classification) Fields
>> of Research codes [3], and GRID (Global Research Identifier Database)
>> identifiers [4].
>> If you want to keep updated about SciGraph developments, we would
>> encourage you to join our public Google group [5]. This is a public
>> mailing list where our users can share questions, insights and feature
>> requests about the SciGraph datasets.
>> To engage with the Linked Open Data research community and to
>> encourage reuse of these datasets we are aiming to organize a
>> hackathon in London in Q2, 2017. More information on this will follow.
>> By way of context, please note that this data release follows on from
>> our earlier data publishing efforts as Nature in 2012 and 2015 [6,7]
>> and Springer in 2015 [8]. It represents a significant consolidation
>> and maturation of this earlier work.
>> The SciGraph Team
>> [1]
>> [2]
>> [3]
>> [4]
>> [5]!forum/scigraph-public
>> [6]
>> [7]
>> [8]

Received on Tuesday, 14 March 2017 14:40:51 UTC