The Data Explorer has two main functionalities targeted at different audiences:
General users can explore the 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. For example, try opening the page for a journal, e.g. Nature, a conference, e.g. ISWC, a concept, e.g. DNA Nanotechnology, or an institute, e.g. the Francis Crick Institute.
Metadata specialists and data scientists can get rich data descriptions for SciGraph things by using a mechanism called content negotiation on SciGraph URLs.
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 SciGraph, and how they are related.
There are a number of ways to begin a journey through SciGraph. We describe a few of them here:
The simplest way to start a new journey is to use the Data Explorer's search bar and input a simple text string. For example, try searching for a topic, e.g. 'machine learning'.
Alternately one can select the Ontology tab and browse the SciGraph class and property hierarchies. This is a useful means to understand better the data structure of SciGraph (see our GitHub repository for the ontology source code in RDF Turtle).
Lastly one can simply enter a Scigraph URL into a browser search bar and this will open the Data Explorer centered on that resource. For example, try opening the page for a journal, e.g. Nature.
A quick note about URLs. SciGraph URLs reference SciGraph objects and these can be expanded to reveal information about the object by clicking on the node. Generally, other URLs reference external objects and these have not been loaded into SciGraph and as such cannot be expanded to reveal further information.
This second approach allows metadata specialists, developers and data scientists building linked data applications to retrieve the data provided by SciGraph using a mechanism called content negotiation.
The Data Explorer allows users to dereference a SciGraph URL and obtain linked data directly from it,
as N-Triples (content type
as Turtle (content type
or as RDF/XML (content type
By default an HTML representation is returned, which is what you would see
by accessing the SciGraph URL with a browser.
Note also that both HTTP and HTTPS protocols are supported for SciGraph URLs.
curl -H "Accept: text/turtle" https://scigraph.springernature.com/things/articles/db1974247b74a1db9698cffe2efbd76b
This will result in the following:
# namespaces omitted here ... articles:db1974247b74a1db9698cffe2efbd76b a sg:Article ; rdfs:label "Article: Veränderungen der Haare und Pilzbefunde in zwei Fällen von Chromidrosis" ; sg:articleType "OriginalPaper" ; sg:coverYear "1916"^^xsd:gYear ; sg:coverYearMonth "1916-08"^^xsd:gYearMonth ; sg:doi "10.1007/BF01825903" ; sg:doiLink <http://dx.doi.org/10.1007/BF01825903> ; sg:hasContribution contributions:eedeb5921b0d4d95378ef36d83732103 ; sg:hasJournal journals:89cddf9665ebd411e541cfb5b970d496 , journals:f5d32f9de4c408d41e1d13fae83eb6eb ; sg:hasJournalBrand journal-brands:22bd15a4aba4d0a43afdc3629f1a5c21 ; sg:issnElectronic "1432-069X" ; sg:issnPrint "0365-6020" ; sg:issue "4" ; sg:language "German" ; sg:pageEnd "578" ; sg:pageStart "572" ; sg:publicationYear "1916"^^xsd:gYear ; sg:publicationYearMonth "1916-08"^^xsd:gYearMonth ; sg:scigraphId "db1974247b74a1db9698cffe2efbd76b" ; sg:title "Veränderungen der Haare und Pilzbefunde in zwei Fällen von Chromidrosis" ; sg:volume "123" ; sg:webpage <https://link.springer.com/10.1007/BF01825903> .
This section contains links to tutorials, learning materials and other resources related to SciGraph.