Literature DB >> 15360831

A relation-centric query engine for the Foundational Model of Anatomy.

Landon T Detwiler1, Emily Chung, Ann Li, José L V Mejino, Augusto Agoncillo, James Brinkley, Cornelius Rosse, Linda Shapiro.   

Abstract

The Foundational Model of Anatomy (FMA), a detailed representation of the structural organization of the human body, was constructed to support the development of software applications requiring knowledge of anatomy. The FMA's focus on the structural relationships between anatomical entities distinguishes it from other current anatomical knowledge sources. We developed Emily, a query engine for the FMA, to enable users to explore the richness and depth of these relationships. Preliminary analysis suggests that Emily is capable of correctly processing real world anatomical queries provided they have been translated into a constrained form suitable for processing by the query engine.

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Year:  2004        PMID: 15360831

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Law and order: assessing and enforcing compliance with ontological modeling principles in the Foundational Model of Anatomy.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  Comput Biol Med       Date:  2005-09-06       Impact factor: 4.589

2.  A graphical user interface for a comparative anatomy information system: design, implementation and usage scenarios.

Authors:  Ravensara S Travillian; Kremena Diatchka; Tejinder K Judge; Katarzyna Wilamowska; Linda G Shapiro
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

4.  An ontology-based comparative anatomy information system.

Authors:  Ravensara S Travillian; Kremena Diatchka; Tejinder K Judge; Katarzyna Wilamowska; Linda G Shapiro
Journal:  Artif Intell Med       Date:  2010-12-10       Impact factor: 5.326

  4 in total

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