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Cross-species Mapping between Anatomical Ontologies: Terminological and Structural Support
 

Summary: Cross-species Mapping between Anatomical Ontologies:
Terminological and Structural Support
Sarah Luger , Stuart Aitken and Bonnie Webber
The University of Edinburgh, School of Informatics
2 Buccleuch Place, Edinburgh EH8 9LW, UK
sluger@inf.ed.ac.uk, stuart@aiai.ed.ac.uk,bonnie@inf.ed.ac.uk
INTRODUCTION
Anatomical ontologies play an increasingly important role in indexing data, including gene expression, in
model organisms. However, the terms used to name anatomical concepts (tissues) differ between
communities, and the ontologies of model organisms differ from one another in ways that do not
correspond to differences between the organisms themselves [Aitken, Webber and Bard, 2004]. We argue
that the analysis of both terminology and structure is needed to support the alignment of anatomical
ontologies across species, and propose automated methods for alignment.
The current work extends the terminological and ontological analysis of [Zhang, Mork and Bodenreider,
2004] through lexical analysis techniques that exploit the conceptual modelling adopted in the anatomies
of model species. While Zhang et al. focus on aligning different anatomical ontologies for a single species
(human), the overall aim of our project (www.xspan.org) is to establish alignments between anatomical
ontologies for different species (C.elegans, drosophila, zebrafish and mouse). The baseline, to which
linkages based on biological expertise and evidence from gene expression and cell-type data will be
added, uses both structural and lexical clues. Model species anatomies differ from human anatomies in

  

Source: Aitken, Stuart - Artificial Intelligence Applications Institute, School of Informatics, University of Edinburgh

 

Collections: Computer Technologies and Information Sciences