The Foundational Model of Anatomy Ontology

By Cornelius Rosse, José Leonardo Villaraza Mejino Jr.. 2008

281 citations recorded by the source corpus.

Subfields: Anatomy, Artificial Intelligence, Molecular Biology, Knowledge Graphs & Representation, Medical & Health AI

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

1. Philipp Koehn
2. Ondrej Bojar
3. Lucia Specia
4. Graham Neubig
5. Barry Haddow
6. Matt Post
7. Rico Sennrich
8. Noah A. Smith

In Molecular Biology

1. Lucia Specia
2. Ondrej Bojar
3. Philipp Koehn
4. Ondrej Dusek
5. Barry Haddow
6. Christof Monz
7. Matt Post
8. Yvette Graham

Citations in the corpus

• Findings of the 2014 Workshop on Statistical Machine Translation (2014, background): “FMA stands for the Foundational Model of Anatomy Ontology, a knowledge source for biomedical informatics concerned with symbolic representation of the phenotypic structure of the human body (Rosse and Mejino Jr., 2008).”
• Ontological realism: A methodology for coordinated evolution of scientific ontologies (2010, unknown): “The authors of the Foundational Model of Anatomy have for some years been working to ensure conformance with BFO (Smith & Rosse, 2004; Rosse & Mejino, 2007).”
• Machine Translation of Medical Texts in the Khresmoi Project (2014, background): “For English, the main source is the AACT collection of texts from Clin-icalTrials.gov. Smaller resources include: Drug-Bank (Knox et al., 2011), GENIA (Kim et al., 2003), FMA (Rosse and Mejino Jr., 2008), GREC (Thompson et al., 2009), and PIL (Bouayad-Agha et al., 2000).”