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Re: Announcement: Springer Nature SciGraph - Public datasets release

From: Sebastien Ferre <Sebastien.Ferre@irisa.fr>
Date: Tue, 14 Mar 2017 13:59:11 +0100
Message-ID: <58C7E91F.5080605@irisa.fr>
To: semantic-web@w3.org

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] http://www.springernature.com/gp/group/media/press-releases/springer-nature-scigraph--supporting-open-science-and-the-wider-understanding-of-research/12129614
> [2] http://www.springernature.com/scigraph
> [3] https://vocabs.ands.org.au/anzsrc-for
> [4] https://grid.ac/
> [5] https://groups.google.com/forum/#!forum/scigraph-public
> [6] https://lists.w3.org/Archives/Public/public-lod/2012Apr/0061.html
> [7] https://lists.w3.org/Archives/Public/public-lod/2015Apr/0005.html
> [8] https://lists.w3.org/Archives/Public/public-lod/2015Mar/0035.html
>
>
Received on Tuesday, 14 March 2017 12:59:45 UTC

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