Biomedical ontologies: a functional perspective
By Daniel Rubin, Nigam H. Shah, Natasha Noy. Briefings Bioinform., 2007
319 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/edf4dd442520fcea10ab49e4a6e0ffbeedb67313
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
- Tal Yarkoni
- Russell A. Poldrack
- Douglas B. Kell
- Darren J. Wilkinson
- Olivier Bodenreider
- Pedro Mendes
- Ozlem Uzuner
- Nicholas S. Holtzman
In Molecular Biology
- Darren J. Wilkinson
- Tal Yarkoni
- Russell A. Poldrack
- Douglas B. Kell
- Olivier Bodenreider
- Michael Hucka
- Andreas Dräger
- Pedro Mendes
Citations in the corpus
- Structuring and extracting knowledge for the support of hypothesis generation in molecular biology (2009, unknown): “Many ontologies have been created and many types of application have become possible [ 3 ], with the life sciences providing a key motivation of addressing the information management problem that arises from high throughput data collection [4,5].”
- Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, methodology): “In contrast, one review provides a functional perspective on biomedical ontologies [15].”
- From brain maps to cognitive ontologies: informatics and the search for mental structure (2015, background): “We review below several important benefits (for others, see Bard & Rhee 2004, Bodenreider & Stevens 2006, Rubin et al. 2008).”
- Controlled vocabularies and semantics in systems biology (2011, background): “Ontologies are formal representations of knowledge with definitions of concepts, their attributes and relations between them expressed in terms of axioms in a well-defined logic (Rubin et al , 2008).”