Literature DB >> 17238294

Differences among cell-structure ontologies: FMA, GO, & CCO.

Alan P Au1, Xiang Li, John H Gennari.   

Abstract

When different groups create models or ontologies of the same knowledge domain, this creates challenges for knowledge sharing. To identify these challenges, we compare cellular structure as modeled by the Foundational Model of Anatomy(FMA), the Gene Ontology (GO), and the Cell Component Ontology (CCO). These ontologies all model the physical anatomy of a cell, and we expected them to be similar in scope. However, we discovered that the actual differences among the mare substantial. These differences represent variations based on theory-driven vs. emergent construction,as well as differences in how small application ontologies like the CCO are created from reference ontologies. In this paper, we provide a description and analysis of these differences. By studying differences in language, granularity, breadth of coverage,and model organization, we hope to gain a better understanding of how to map between related ontologies.

Mesh:

Year:  2006        PMID: 17238294      PMCID: PMC1839392     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  6 in total

1.  Creating the gene ontology resource: design and implementation.

Authors: 
Journal:  Genome Res       Date:  2001-08       Impact factor: 9.043

2.  A rule driven bi-directional translation system for remapping queries and result sets between a mediated schema and heterogeneous data sources.

Authors:  R Shaker; P Mork; M Barclay; P Tarczy-Hornoch
Journal:  Proc AMIA Symp       Date:  2002

3.  A reference ontology for biomedical informatics: the Foundational Model of Anatomy.

Authors:  Cornelius Rosse; José L V Mejino
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

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

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

5.  The role of foundational relations in the alignment of biomedical ontologies.

Authors:  Barry Smith; Cornelius Rosse
Journal:  Stud Health Technol Inform       Date:  2004

6.  MetaCyc and AraCyc. Metabolic pathway databases for plant research.

Authors:  Peifen Zhang; Hartmut Foerster; Christophe P Tissier; Lukas Mueller; Suzanne Paley; Peter D Karp; Seung Y Rhee
Journal:  Plant Physiol       Date:  2005-05       Impact factor: 8.340

  6 in total

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