Sofia, 10 March 2017
We at Ontotext are delighted to announce that one of the world’s most renowned scientific publishers, Springer Nature, has selected our industry-leading semantic graph database GraphDB™ to power its new Linked Open Data platform.
Springer Nature, which has an annual turnover of EUR 1.5 billion, has picked Ontotext’s GraphDB as a scalable semantic graph database for its new LOD platform SciGraph that aggregates sources from Springer Nature and key partners in the scholarly domain.
With its ability to handle massive load, querying and inferencing in real time, GraphDB powers Springer Nature’s SciGraph, containing billions of triples. Ontotext’s technology helps Springer Nature’s LOD platform to collate high-quality data from trusted and reliable sources across the research landscape such as funders, research projects, conferences, affiliations, and publications. This high quality data provides a rich semantic description of how information is related and visualizes the scholarly domain in interesting new ways.
By seamlessly integrating disparate data silos, GraphDB allows Springer Nature’s SciGraph to comprise metadata from journals and articles, books and chapters, organizations, institutions, funders, research grants, patents, clinical trials, substances, conference series, events, citations and reference networks, Altmetrics, and links to research datasets.
Describing our collaboration with Springer Nature, Ontotext CEO Atanas Kiryakov said:
We are happy to support Springer Nature in their journey of interlinking and making discoverable huge amounts of diverse data.
Ontotext’s vision is to provide a reliable semantic graph database that offers fast data loading, efficient data updates and is easy to use.
Henning Schoenenberger, Director Product Data and Metadata, said,
We put researchers at the heart of our attention. The merger to Springer Nature has put the company in a position to have a global view to better serve the needs of the research communities. Our vision is to create the largest state of the art linked data aggregation platform for the scholarly domain. We ingest data across internal and external data silos to transform it for re-usage across the entire enterprise and research area. In doing so, we increase content discoverability and provide data-driven tools and services for researchers, authors, editors, librarians, data scientists and many more by adding value across all content types.
Springer Nature has been using Semantic and Linked Data technologies since 2012. Now, teaming up with semantic technology developer Ontotext in its new endeavor, the scientific publisher will strive to overcome former boundaries by relating comprehensive information about the scientific domain.
In this way, Springer Nature’s users have the opportunity to further broaden their perspective with visual representation of semantic relations, while developers are actively encouraged to re-use Springer Nature’s datasets. A large part of these datasets will be freely accessible under a CC BY-NC 4.0 license, to the benefit of developers, researchers, scholars, and users.
The first official presentation of SciGraph will be held at London Book Fair. Springer Nature SciGraph’s lead data architect Michele Pasin will be giving the joint presentation with Ontotext explaining SciGraph features and its technical approach. Visit our event page to see more details about the presentation.
Contact us to learn which GraphDB™ edition best suits the needs of your enterprise data management or research project.