Springer Nature SciGraph is a new Linked Open Data platform that aggregates and interlinks various data sources from the scholarly domain. It is part of Springer Nature’s longstanding commitment to advance discovery by publishing robust and insightful research, supporting the development of new areas of knowledge, making ideas and information accessible around the world, and leading the way on open access.
The presentation will focus on how Ontotext’s semantic graph database GraphDB helps Springer Nature SciGraph to collate high-quality content from trusted and reliable sources across the research landscape. The LOD platform is projected to contain 1.5-2 billion triples. This creates a perfect use case to test GraphDB's capabilities to handle massive load, querying and inferencing in real time. By seamlessly integrating disparate silos of content, GraphDB allows Springer Nature's LOD platform 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.
