The National Cancer Institute's Thésaurus and Ontology
By Jennifer Golbeck, G. Fragoso, F. Hartel, J. Hendler, Jim Oberthaler, Bijan Parsia. Journal of Web Semantics, 2003
334 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3a13ce71acdd1f28c9ffc17bd2db981aab0fada6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Olivier Bodenreider
- Robert Stevens
- Alan L. Rector
- Julian Seidenberg
- Amos Bairoch
- Ozlem Uzuner
- Barry Smith
- Christopher Kotfila
In Molecular Biology
- Olivier Bodenreider
- Robert Stevens
- Alan L. Rector
- Julian Seidenberg
- Amos Bairoch
- Ozlem Uzuner
- Barry Smith
- Christopher Kotfila
Citations in the corpus
- Web ontology segmentation: analysis, classification and use (2006, background): “For example, the biomedical domain has numerous very large ontologies such as SNOMED-CT [34], GALEN [25], FMA [30] and NCI-Thesaurus [7].”
- NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information (2007, methodology): “NCI relies on Web Ontology Language (OWL) format to make NCI Thesaurus modeling accessible to users of open, public domain terminology editors and related tools.”
- Bio-ontologies: current trends and future directions (2006, background): “Other large biomedical terminologies such as the NCI Thesaurus have recently adopted OWL for their representation [52].”