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Finding grants and active journals related to cancer in the SN SciGraph Dataset
Starting with all research subjects, we first restrict the group to the ones about cancer and retrieve the related articles. We then retrieve the journals and the grants related to these articles. We mark the most remarkable finds and finally restrict the journal group to the active ones. The exploration is saved for later usage on updated data.
Publishing Industry
The SpringerNature SciGraph initiative combines data about millions of articles, contributors, journals, grants, etc. within a RDFS dump. SemSpect makes this data set easily understandable.
Fraud Detection
The Neo4j data dump released by the International Consortium of Investigative Journalists about the Panama Papers Leak contains over 4.5 millions relationships between persons and companies. SemSpect can import this data to expose network patterns used in money laundry and tax fraud.
Open Data about the US Congress
GovTrack.us publishes data about the US federal legislation such as information about representatives and senators in US Congress including voting records, bill status and votes. We have complemented this data with an ontology schema and offer SemSpect to track US Congress no. 112 to 114.
Life Science
Large volumes of biomedical data sources are already available in standardized formats such as RDFS, OBO or OWL. This allows to easily establish and use cross-links between resources in multiple biomedical domains to execute Life Science research in its entirety. See the Reactome data from EMBL-EBI in SemSpect as a showcase.
The CovidGraph initiative is a nonprofit collaboration to built a research and communication platform based on a Neo4j graph that includes publications, cases, genes, molecular data etc. and their relations. The new SemSpect Graph App for Neo4j is used for data quality checking as well as query tool by the CovidGraph development team.
SpringerNature recently released SN SciGraph, a Linked Open Data dataset about scientific articles, journals, grants and institutions as well as their cross-links. As key partner of this initiative, derivo is supporting the project with expertise in knowledge modeling as well as with SemSpect. See how to uncover the hidden in SpringerNature’s SciGraph in this article.
Data-driven exploration and a data-sensitive visualization can help making sense of large Knowledge Graphs. At SEMANTiCS 2017 industry track it was demonstrated that SemSpect enables even domain or query novices to carry out sophisticated research by interacting with a visual representation of the data. This has been shown using the example of the Panama Papers dataset.
Knowledge Graphs are becoming more common within industrial and scientific applications. Field experience with our customers have revealed that existing graph visualization and querying tools fail to adequately support users in understanding and querying real-world datasets. At ISWC we present SemSpect by means of a poster an a demo.
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