Literature DB >> 19162233

Applying evolutionary terminology auditing to the Gene Ontology.

Werner Ceusters1.   

Abstract

Evolutionary Terminology Auditing (ETA) is a novel way to assess the quality of terminologies using reality as benchmark. The key idea is that terms added to each new version of a terminology reflect unjustified absences and terms that are deleted unjustified presences in previous versions of the terminology. The method requires that terminology authors not only keep track of changes in successive versions, but also motivate the changes introduced. In this paper, we report on how our method has been applied to the Gene Ontology (GO), a collection of three structured, controlled vocabularies for use in annotating genes, gene products and sequences. We demonstrate that even where the basic requirements for its application are only partially satisfied, the approach can still yield results which are useful for quantifying and forecasting the evolution of a terminology's quality over time.

Mesh:

Year:  2008        PMID: 19162233     DOI: 10.1016/j.jbi.2008.12.008

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  10 in total

1.  Ontological realism: A methodology for coordinated evolution of scientific ontologies.

Authors:  Barry Smith; Werner Ceusters
Journal:  Appl Ontol       Date:  2010-11-15       Impact factor: 1.115

2.  SNOMED CT revisions and coded data repositories: when to upgrade?

Authors:  Werner Ceusters
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  Applying Evolutionary Terminology Auditing to SNOMED CT.

Authors:  Werner Ceusters
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

4.  Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology.

Authors:  Jonathan M Mortensen; Natalie Telis; Jacob J Hughey; Hua Fan-Minogue; Kimberly Van Auken; Michel Dumontier; Mark A Musen
Journal:  J Biomed Inform       Date:  2016-02-10       Impact factor: 6.317

5.  Predicting the extension of biomedical ontologies.

Authors:  Catia Pesquita; Francisco M Couto
Journal:  PLoS Comput Biol       Date:  2012-09-13       Impact factor: 4.475

6.  Foundations for a realist ontology of mental disease.

Authors:  Werner Ceusters; Barry Smith
Journal:  J Biomed Semantics       Date:  2010-12-09

Review 7.  Evolution of biomedical ontologies and mappings: Overview of recent approaches.

Authors:  Anika Groß; Cédric Pruski; Erhard Rahm
Journal:  Comput Struct Biotechnol J       Date:  2016-08-26       Impact factor: 7.271

8.  Analysis of readability and structural accuracy in SNOMED CT.

Authors:  Francisco Abad-Navarro; Manuel Quesada-Martínez; Astrid Duque-Ramos; Jesualdo Tomás Fernández-Breis
Journal:  BMC Med Inform Decis Mak       Date:  2020-12-15       Impact factor: 2.796

9.  Measuring the evolution of ontology complexity: the gene ontology case study.

Authors:  Olivier Dameron; Charles Bettembourg; Nolwenn Le Meur
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

10.  Taxonomy-Based Approaches to Quality Assurance of Ontologies.

Authors:  Michael Halper; Yehoshua Perl; Christopher Ochs; Ling Zheng
Journal:  J Healthc Eng       Date:  2017-10-11       Impact factor: 2.682

  10 in total

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