Bio-ontologies: current trends and future directions
By Olivier Bodenreider, Robert Stevens. Briefings Bioinform., 2006
408 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/2c07f29694fc3b5ea2413e6301f56be2166051ba
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
- Mark A. Musen
- Natasha Noy
- Tal Yarkoni
- Russell A. Poldrack
- Nigam H. Shah
- Pavel Shvaiko
- Jérôme Euzenat
In Molecular Biology
- Olivier Bodenreider
- Mark A. Musen
- Natasha Noy
- Tal Yarkoni
- Russell A. Poldrack
- Nigam H. Shah
- Pavel Shvaiko
- Jérôme Euzenat
Citations in the corpus
- Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, background): “A number of recent reviews have presented the major biomedical ontologies to various audiences, most often with an emphasis on their design and structural characteristics, mentioning their use only in passing [6-11].”
- Biomedical ontologies: a functional perspective (2007, background): “The content-oriented view has been addressed well in prior reviews [13–15], describing the activities of individuals and Corresponding author.”
- From brain maps to cognitive ontologies: informatics and the search for mental structure (2015, methodology): “Poldrack et al. (2012) first performed topic modeling on the text from the Neurosynth database using a technique known as latent Dirichlet allocation (Blei et al. 2003).”
- The Open Biomedical Annotator (2009, background): “The research community agrees that ontologies are essential for data integration and translational discoveries to occur.([3]) However, the variety of biomedical data is very large and the data are often annotated with free text metadata by the researcher who created the dataset.”