Integrating partonomic hierarchies in anatomy ontologies

BackgroundAnatomy ontologies play an increasingly important role in developing integrated bioinformatics applications. One of the primary relationships between anatomical tissues represented in such ontologies is part-of. As there are a number of ways to divide up the anatomical structure of an organism, each may be represented by more than one valid partonomic (part-of) hierarchy. This raises the issue of how to represent and integrate multiple such hierarchies.ResultsIn this paper we describe a solution that is based on our work on an anatomy ontology for mouse embryo development, which is part of the Edinburgh Mouse Atlas Project (EMAP). The paper describes the basic conceptual aspects of our approach and discusses strengths and limitations of the proposed solution. A prototype was implemented in Prolog for evaluation purposes.ConclusionWith the proposed name set approach, rather than having to standardise hierarchies, it is sufficient to agree on a suitable set of basic tissue terms and their meaning in order to facilitate the integration of multiple partonomic hierarchies.

[1]  Karl Theiler,et al.  The House Mouse: Atlas of Embryonic Development , 1972 .

[2]  Richard A. Baldock,et al.  Formalization of mouse embryo anatomy , 2004, Bioinform..

[3]  Hans Chalupsky,et al.  OntoMorph: A Translation System for Symbolic Knowledge , 2000, KR.

[4]  E Guest,et al.  A three-dimensional model of the mouse at embryonic day 9. , 1999, Developmental biology.

[5]  Donald D. Chamberlin,et al.  W3C World Wide Web Consortium , 2003 .

[6]  Karl Heinz Höhne,et al.  Partonomies for interactive explorable 3D-models of anatomy , 1998, AMIA.

[7]  Mark A. Musen,et al.  The PROMPT suite: interactive tools for ontology merging and mapping , 2003, Int. J. Hum. Comput. Stud..

[8]  Alan L. Rector,et al.  GALEN's model of parts and wholes: experience and comparisons , 2000, AMIA.

[9]  Bard,et al.  The mouse atlas and graphical gene-expression database , 1997, Seminars in cell & developmental biology.

[10]  Dejing Dou,et al.  Ontology translation by ontology merging and automated reasoning , 2004 .

[11]  Olivier Bodenreider,et al.  Lessons learned from aligning two representations of anatomy , 2004, KR-MED.

[12]  José L. V. Mejino,et al.  Pushing the envelope: challenges in a frame-based representation of human anatomy , 2004, Data Knowl. Eng..

[13]  J T Eppig,et al.  A database for mouse development. , 1994, Science.

[14]  Philip A. Bernstein,et al.  Adapting a generic match algorithm to align ontologies of human anatomy , 2004, Proceedings. 20th International Conference on Data Engineering.

[15]  Richard Baldock,et al.  Computational genetics: Bioinformatics beyond sequence: mapping gene function in the embryo , 2001, Nature Reviews Genetics.