Literature DB >> 17271570

The foundational model of anatomy: a template for the symbolic representation of multi-scale physiological functions.

D L Cook1, J L V Mejino, C Rosse.   

Abstract

We describe the foundational model of anatomy (FMA), reference ontology for the discipline of human anatomy. Using the semantic structure of the FMA as knowledge representation template, we propose a physiology reference ontology (PRO) as a corresponding ontology for "functional bioinformatics". We envision the PRO as a source vocabulary for building symbolic representations of human physiological states and actions that may ultimately be extensible to other species. We describe the evolving architecture of the PRO, in terms of simple examples based on the anatomical concepts encoded in the FMA.

Entities:  

Year:  2004        PMID: 17271570     DOI: 10.1109/IEMBS.2004.1404513

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

Review 1.  Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.

Authors:  Muhammad Amith; Zhe He; Jiang Bian; Juan Antonio Lossio-Ventura; Cui Tao
Journal:  J Biomed Inform       Date:  2018-02-17       Impact factor: 6.317

2.  The cognitive paradigm ontology: design and application.

Authors:  Jessica A Turner; Angela R Laird
Journal:  Neuroinformatics       Date:  2012-01

3.  Linking human diseases to animal models using ontology-based phenotype annotation.

Authors:  Nicole L Washington; Melissa A Haendel; Christopher J Mungall; Michael Ashburner; Monte Westerfield; Suzanna E Lewis
Journal:  PLoS Biol       Date:  2009-11-24       Impact factor: 8.029

4.  Benchmarking ontologies: bigger or better?

Authors:  Lixia Yao; Anna Divoli; Ilya Mayzus; James A Evans; Andrey Rzhetsky
Journal:  PLoS Comput Biol       Date:  2011-01-13       Impact factor: 4.475

5.  Ontology driven integration platform for clinical and translational research.

Authors:  Parsa Mirhaji; Min Zhu; Mattew Vagnoni; Elmer V Bernstam; Jiajie Zhang; Jack W Smith
Journal:  BMC Bioinformatics       Date:  2009-02-05       Impact factor: 3.169

  5 in total

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