Publisher Springer Nature is giving a boost to researchers with the launch of its new Springer Nature SciGraph. The new Linked Open Data (LOD) platform aggregates data sources from Springer Nature and cooperating partners, making it easier to analyze information related to Springer Nature publications. With the implementation of Springer Nature SciGraph, Springer Nature seeks to strengthen its role in connecting people with the most relevant and important information so that more can be learned and discovered. Following SharedIt and Recommended, Springer Nature SciGraph is now the third in a series of industry-pioneering initiatives launched by Springer Nature in the past six months.
Springer Nature plays a strong and progressive role in enabling the research community to take full advantage of all that open research offers. The publishing group is now in the vanguard of LOD providers in the science publishing industry and has assumed a leading role among open data publishers and open research supporters.
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 one billion triples. The vast majority of these datasets will be freely accessible and provided in a way to enable experts to analyze downloaded datasets using their own machines, or via exploration tools on the Springer Nature SciGraph website which is being continuously enhanced.
Whether you want to understand which conferences are taking place in subject areas with rising funding, or discover which Springer Nature articles cite your colleagues, or analyze the distribution of authors by country in a given field of interest, Springer Nature SciGraph openly provides the necessary data.
The new platform is also the result of an intense and fruitful collaboration with Digital Science, which supported the development of core infrastructure functionalities. Digital Science, Unsilo and InfoChem are contributing to the project by providing high-quality and reliable datasets. In addition, Ontotext provides a reliable semantic graph database that offers fast data loading and efficient data updates. To engage with the Linked Open Data research community and to encourage re-usage of this newly created dataset, Springer Nature will organise a hackathon in London in the second quarter of 2017. Furthermore, the dataset will be published prior to this event to allow the exploration of the various connections of Springer Nature's publications.
Springer Nature SciGraph's lead data architect Michele Pasin and semantic technology vendor Ontotext will be giving the joint presentation explaining Springer Nature SciGraph features and its technical approach at the London Book Fair on March 14, 2017 at 10 am.
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