BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260807T030521Z
UID:41d319be-6632-4e54-9b51-3f18365957df
DTSTART:20220318T110000Z
DTEND:20220318T130000Z
DESCRIPTION:**Description:**\nLife science is the most demanding research f
 ield in terms of data quantity and complexity\, with many relevant referen
 ce databases. To generate knowledge\, heterogeneous data from various sour
 ces must often be combined. Semantic Web technologies\, and in particular 
 RDF and its companion query language SPARQL\, provide a common framework a
 llowing data to be shared and reused between resources. Many life science 
 databases have recently turned to RDF to model their data\, developed SPAR
 QL endpoints and joined the Linked (Open) Data cloud. This tutorial will i
 ntroduce neXtProt (www.nextprot.org/)\, one of the major public knowledge 
 bases on human proteins\, its comprehensive RDF data model\, and its large
  collection of reusable example queries\, including federated queries to o
 ther resources.\n\n**At the end of the course\, the participants are expec
 ted to:**\n• Describe the neXtProt data model\n• Run example queries t
 hat answer biological questions\n• Search for data by modifying existing
  SPARQL queries\n• Understand how federated queries are constructed\n\n*
 *Instructor:**\nMonique Zahn is the Quality Manager of the CALIPHO group w
 hich develops neXtProt. She is responsible for testing user interfaces and
  the contents of each release. She has established quality control procedu
 res involving SPARQL queries carried out at each data release. She has tau
 ght biology in undergraduate degree programs in Switzerland and is also Tr
 aining Manager at the SIB.
SUMMARY:Spinning a semantic web of protein information
URL;VALUE=URI:https://www.iscb.org/cms_addon/academy/events#6
END:VEVENT
END:VCALENDAR