How to boost your research with SIB’s Semantic Web of data скачать в хорошем качестве

How to boost your research with SIB’s Semantic Web of data

What you will discover: SIB’s Semantic Web of data, a framework enabling users to retrieve knowledge from across 11 SIB databases, whose data were curated to be FAIR (Findable, Accessible, Interoperable, and Reusable), as well as external databases. You are: a biologist or a bioinformatician who needs to answer a biological or a clinical question using diverse resources, then this talk is for you! Speaker: Tarcisio Mendes de Farias, Knowledge Representation Manager at SIB. Click to access specific sections of the talk: 00:24 Overview: SIB databases 01:05 From data silos to a Semantic Web of data 02:55 Combining the information of multiple databases 03:37 Technical overview: federating SIB databases 05:34 Final remarks and future works Reference papers and resource SIB Swiss Institute of Bioinformatics RDF Group Members, The SIB Swiss Institute of Bioinformatics Semantic Web of data, Nucleic Acids Research, Volume 52, Issue D1, 5 January 2024, p. D44–D51. DOI: 10.1093/nar/gkad902 SPARQL endpoint URL of the databases: Bgee: https://www.bgee.org/sparql/ https://purl.org/bioquery (Bio-Query) Cellosaurus: https://query.wikidata.org/ (via Wikidata), GlyConnect: https://beta.glyconnect.expasy.org/sp... ; https://glyconnect.expasy.org/sparql HAMAP: https://hamap.expasy.org/sparql MetaNetX: https://rdf.metanetx.org/ OMA: https://sparql.omabrowser.org/ OrthoDB: https://sparql.orthodb.org/ Rhea: https://sparql.rhea-db.org/ STRING: https://sparql.string-db.org/ SwissLipids: https://beta.sparql.swisslipids.org/ UniProtKB: https://sparql.uniprot.org Any questions about this talk? Contact Tarcisio at kru[at]sib.swiss More about the speaker Dr. Tarcisio Mendes de Farias is the co-lead of the Knowledge Representation Unit at the SIB Swiss Institute of Bioinformatics. He is an AI-researcher with expertise in Semantic Web technologies. His Unit provides R&D services and develops tools to support life science research in academia and industry. Currently, his main research interests are Semantic Web applied to biological and biomedical data, ontology engineering, natural language processing, large language models, data integration and semantic interoperability among biological data sources. Read the news on our website: https://www.sib.swiss/in-silico-talks...