4. NCBO Key Activities
• We create and maintain a library of
biomedical ontologies
• We build tools and Web services to
enable the use of ontologies
• We collaborate with scientific
communities that develop and use
ontologies
8. BioPortal
• Repository of biomedical ontologies
• Stores ontologies developed in OWL or OBO
format
• View, browse, and search across ontologies
through the Web interface
• Programmatic access to ontologies via Web
services and SPARQL endpoint
• Access control for private ontologies
9. Outline
• NCBO Overview
• BioPortal
• NCBO Web Services
• Applications using NCBO Technology
10. http://http://rreesstt..bbiioooonnttoollooggyy..oorrgg
Ontology
Services
Ontology
Services
• Search
• Traverse
• Comment
• Download
• Search
• Traverse
• Comment
• Download
Mapping
Services
Mapping
Services
WWididggeettss
• Create
• Upload
• Download
• Tree-view
• Auto-complete
• Graph-view
• Tree-view
• Auto-complete
• Graph-view
AAnnnnoottaattioionn
DDaattaa A Acccceessss
• Create
• Upload
• Download
TTeerrmm r reeccooggnnititioionn
Search “data”
annotated with a
given term
Search “data”
annotated with a
given term
hhttttpp::////bbiiooppoorrttaall..bbiioooonnttoollooggyy..oorrgg
11. Outline
• NCBO Overview
• BioPortal
• NCBO Web Services
• Applications using NCBO Technology
13. These 3 software
components of
use BioPortal Web services
to access, browse ontology
and provide term-tagging
features
http://isatab.sourceforge.nneett//iissaaccrreeaattoorr..hhttmmll
18. Summary
• NCBO provides access to ontologies via Web
services
• Web services are easy to integrate into
software applications
• Use of common ontologies across projects
better facilitates data integration and analysis
19. Thank you!
• Web service documentation:
http://www.bioontology.org/wiki/index.php/
NCBO_REST_services
• Keep in touch
– Software support:
support@bioontology.org
–Twitter: @bioontology
– Facebook: http://on.fb.me/bioontology
– LinkedIn: http://linkd.in/ncbo-group
Hinweis der Redaktion
Ontology Development and Visualization
Data Annotation
Data Integration
Ecosystem revolving around the ISA-TAB format
Support for massively parallel datasets
Focus on a couple of the tools – OntoMaton
Gradient from left to right – configuration (annotation guidelines), curation tools to analysis and usage – people can choose the path that is more convenient for their use case