Lastly one can simply enter a SN Scigraph URL into a browser search bar and this will open the Data Explorer centered on that resource.
Scigraph with simply fortran code#
This is a useful means to understand the data structure of SN SciGraph (see our GitHub repository for the ontology source code in RDF Turtle) better. 'machine learning'.Īlternately one can select the Ontology tab and browse the SN SciGraph class and property hierarchies. For example, try searching for a topic, e.g. The simplest way to start a new journey is to use the Data Explorer's search bar and input a simple text string. There are a number of ways to begin a journey through SN SciGraph. This approach is open-ended and exploratory in nature, and does not require any technical expertise (apart from some basic understanding of linked data principles) and thus is suitable for all audiences who want to discover the range of things available in SN SciGraph, and how they are related. Developers can also use the Redirect API to look up SN SciGraph things by e.g. Metadata specialists and data scientists can get rich data descriptions for SN SciGraph things by using the Linked Data API. DNA Nanotechnology, or an institute, e.g. For example, try opening the page for a journal, e.g. General users can explore the SN SciGraph data landscape in an interactive manner by clicking on a node in the graph, viewing the information associated with it, and then following on to the next node.
The Data Explorer has two main functionalities targeted at different audiences: It is aimed both at linked data specialists, who can find machine-readable representations of SN SciGraph resources, and at the more general research community, as it provides a visually appealing and intuitive overview on the variety of data in SN SciGraph, and how the data is structured. The SN SciGraph Data Explorer is a website which allows users to explore the contents of SN SciGraph. SN SciGraph includes data on all Springer Nature publications including journals and books from almost two hundred years (1830s to present), as well as funders, research projects, conferences, affiliations and institutions. the things, documents, people, places and relations of importance to the science and scholarly domain. SN SciGraph is the Springer Nature linked data platform that collates information from across the research landscape, i.e.
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