Literature DB >> 18629099

Bringing ontology to the gene ontology.

Jennifer Williams1, William Andersen.   

Abstract

We present an analysis of some considerations involved in expressing the Gene Ontology (GO) as a machine-processible ontology, reflecting principles of formal ontology. GO is a controlled vocabulary that is intended to facilitate communication between biologists by standardizing usage of terms in database annotations. Making such controlled vocabularies maximally useful in support of bioinformatics applications requires explicating in machine-processible form the implicit background information that enables human users to interpret the meaning of the vocabulary terms. In the case of GO, this process would involve rendering the meanings of GO into a formal (logical) language with the help of domain experts, and adding additional information required to support the chosen formalization. A controlled vocabulary augmented in these ways is commonly called an ontology. In this paper, we make a modest exploration to determine the ontological requirements for this extended version of GO. Using the terms within the three GO hierarchies (molecular function, biological process and cellular component), we investigate the facility with which GO concepts can be ontologized, using available tools from the philosophical and ontological engineering literature.

Entities:  

Year:  2003        PMID: 18629099      PMCID: PMC2447385          DOI: 10.1002/cfg.253

Source DB:  PubMed          Journal:  Comp Funct Genomics        ISSN: 1531-6912


  5 in total

1.  Comparison of functional annotation schemes for genomes.

Authors:  S C Rison; T C Hodgman; J M Thornton
Journal:  Funct Integr Genomics       Date:  2000-05       Impact factor: 3.410

2.  Pathway databases: a case study in computational symbolic theories.

Authors:  P D Karp
Journal:  Science       Date:  2001-09-14       Impact factor: 47.728

Review 3.  Ontology-based knowledge representation for bioinformatics.

Authors:  R Stevens; C A Goble; S Bechhofer
Journal:  Brief Bioinform       Date:  2000-11       Impact factor: 11.622

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

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

5.  Ontologies for molecular biology.

Authors:  S Schulze-Kremer
Journal:  Pac Symp Biocomput       Date:  1998
  5 in total
  2 in total

1.  The compositional structure of Gene Ontology terms.

Authors:  P V Ogren; K B Cohen; G K Acquaah-Mensah; J Eberlein; L Hunter
Journal:  Pac Symp Biocomput       Date:  2004

2.  The Gene Ontology (GO) project in 2006.

Authors: 
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

  2 in total

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