Literature DB >> 15360843

Challenges in precisely aligning models of human anatomy using generic schema matching.

Peter Mork1, Rachel Pottinger, Philip A Bernstein.   

Abstract

This paper describes how we used generic schema matching algorithms to align the Foundational Model of Anatomy (FMA) and the GALEN Common Reference Model (CRM), two large models of human anatomy. We summarize the generic schema matching algorithms we used to identify correspondences. We present sample results that highlight the similarities and differences between the FMA and the CRM. We also identify uses of aggregation, transitivity, and reification, for which generic schema matching fails to produce an accurate mapping and present manually constructed solutions for them.

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Year:  2004        PMID: 15360843

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


  5 in total

1.  Aligning representations of anatomy using lexical and structural methods.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Comparing two approaches for aligning representations of anatomy.

Authors:  Songmao Zhang; Peter Mork; Olivier Bodenreider; Philip A Bernstein
Journal:  Artif Intell Med       Date:  2007-01-23       Impact factor: 5.326

3.  A fault model for ontology mapping, alignment, and linking systems.

Authors:  Helen L Johnson; K Bretonnel Cohen; Lawrence Hunter
Journal:  Pac Symp Biocomput       Date:  2007

4.  Experience in Aligning Anatomical Ontologies.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  Int J Semant Web Inf Syst       Date:  2007       Impact factor: 0.843

5.  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

  5 in total

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