The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
NCBO Resource Index: Ontology-based Search and Mining of Biomedical Resources
1. 22
sources
NCBO Resource Index: Ontology-based Search
and Mining of Biomedical Resources
Patricia L. Whetzel1, Clement Jonquet2, Paea LePendu1, Sean M. Falconer1, Adrien Coulet3,
3.5M
elements
2
200
ontologies
Without:
No items found.
Why not? Because adrenal gland
pheochromocytoma is a specialization of
retroperitoneal neoplasm (for example),
which we know by using ontologies, so we
can find results where others may not.
2.4M
terms
4M
mappings
16.4 Billion
Annotations Indexed
End User Application:
NCBO Resource Index Search
• Search. Find. Explore.
Ontologies help to integrate diverse resources,
1 to guide the user, and to improve search results.
Diverse Information
Sources
• Resources. Elements. Ontologies.
We combine knowledge from many
different data sources and ontologies
contributed and maintained by other
researchers from all over the world.
3
Meaning
• Synonyms. Hierarchies. Mappings.
Under the hood, we expand and rank
search results based on various
semantic elements.
retroperitoneal neoplasm Search
Natalya F. Noy1, Mark A. Musen1, Nigam H. Shah1
1Stanford University, USA, 2Université Montpellier, France, 3Nancy University, France
Acknowledgements
The Resource Index is developed by the National Center for Biomedical Ontology (NCBO), one of the
National Centers for Biomedical Computing under the NIH Roadmap. For more information on NCBO and
working with the Center, visit http://www.bioontology.org or email support@bioontology.org.
Auto-complete using terminologies
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Features
With:
20 search results!
Try it!
http://bioportal.bioontology.org/resources