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On Tuesday 23rd March 2021, the H2020 projects NanoCommons and NanoSolveIT, in a joint initiative with the NanoSafety Cluster (NSC), organised an online webinar on “Online SPARQL Access to linked data”, explaining the use of linked data resources such as WikiPathways and AOP-Wiki. The webinar was run by Ammar Ammar and Marvin Martens, from the BiGCaT (Department of Bioinformatics, University of Maastricht), The Netherlands. Under the title “Online SPARQL Access to WikiPathway and AOP-Wiki Webinar”, 40 participants from a mixed audience (academia, industry, regulation, etc.) learned how to use the SPARQL interface by walking through the various functionalities, and a variety of example queries against the WikiPathways and AOP-Wiki data. Furthermore, federated queries across resources were executed to illustrate the strength of linked data. At the start a short introduction was given by Martin Himly, Chair of the WG-A “Education, Training and Communication” of the NSC, on the brand new NanoCommons User Guidance Handbook, where to find the different training materials offered by NanoCommons, and the forthcoming events being organised by NanoCommons. Following Martin’s intro, Ammar and Marvin took the lead of the webinar, guiding the audience through the following topics: Linked Data → Semantic Web Technologies → Life Sciences Introduction to WikiPathways and AOP-Wiki SNORQL User Interface (UI) for SPARQL exploration Brief description of SPARQL Demo of SNORQL UIs of WikiPathways and AOP-Wiki Attached here you find the pdf of the entire webinar slide set. The webinar recording is amongst others available online at the NanoCommons YouTube channel, for a direct link to the recording of this event click here. Furthermore, you find additional information on related trainings at the NanoCommons Infrastructure, in the NanoCommons Customer Guidance Handbook, and at the ELIXIR TeSS channel of NanoCommons.
SNORQL user interface, linked data, nanosafety assessment, nanoinformatics, resource description framework, life science data, adverse outcome pathways, toxicology
SNORQL user interface, linked data, nanosafety assessment, nanoinformatics, resource description framework, life science data, adverse outcome pathways, toxicology
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