Literature DB >> 16342916

A terminological and ontological analysis of the NCI Thesaurus.

W Ceusters1, B Smith, L Goldberg.   

Abstract

OBJECTIVE: The National Cancer Institute Thesaurus is described by its authors as "a biomedical vocabulary that provides consistent, unambiguous codes and definitions for concepts used in cancer research" and which "exhibits ontology-like properties in its construction and use". We performed a qualitative analysis of the Thesaurus in order to assess its conformity with principles of good practice in terminology and ontology design.
MATERIALS AND METHODS: We used both the on-line browsable version of the Thesaurus and its OWL-representation (version 04.08b, released on August 2, 2004), measuring each in light of the requirements put forward in relevant ISO terminology standards and in light of ontological principles advanced in the recent literature.
RESULTS: We found many mistakes and inconsistencies with respect to the term-formation principles used, the underlying knowledge representation system, and missing or inappropriately assigned verbal and formal definitions.
CONCLUSION: Version 04.08b of the NCI Thesaurus suffers from the same broad range of problems that have been observed in other biomedical terminologies. For its further development, we recommend the use of a more principled approach that allows the Thesaurus to be tested not just for internal consistency but also for its degree of correspondence to that part of reality which it is designed to represent.

Entities:  

Mesh:

Year:  2005        PMID: 16342916

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  35 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

Review 2.  The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system.

Authors:  Mathias Brochhausen; Andrew D Spear; Cristian Cocos; Gabriele Weiler; Luis Martín; Alberto Anguita; Holger Stenzhorn; Evangelia Daskalaki; Fatima Schera; Ulf Schwarz; Stelios Sfakianakis; Stephan Kiefer; Martin Dörr; Norbert Graf; Manolis Tsiknakis
Journal:  J Biomed Inform       Date:  2010-05-11       Impact factor: 6.317

3.  A strategy for improving and integrating biomedical ontologies.

Authors:  Cornelius Rosse; Anand Kumar; Jose L V Mejino; Daniel L Cook; Landon T Detwiler; Barry Smith
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Auditing as part of the terminology design life cycle.

Authors:  Hua Min; Yehoshua Perl; Yan Chen; Michael Halper; James Geller; Yue Wang
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

5.  A query integrator and manager for the query web.

Authors:  James F Brinkley; Landon T Detwiler
Journal:  J Biomed Inform       Date:  2012-04-17       Impact factor: 6.317

6.  The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration.

Authors:  Barry Smith; Michael Ashburner; Cornelius Rosse; Jonathan Bard; William Bug; Werner Ceusters; Louis J Goldberg; Karen Eilbeck; Amelia Ireland; Christopher J Mungall; Neocles Leontis; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Richard H Scheuermann; Nigam Shah; Patricia L Whetzel; Suzanna Lewis
Journal:  Nat Biotechnol       Date:  2007-11       Impact factor: 54.908

7.  Negative findings in electronic health records and biomedical ontologies: a realist approach.

Authors:  Werner Ceusters; Peter Elkin; Barry Smith
Journal:  Int J Med Inform       Date:  2007-03-21       Impact factor: 4.046

Review 8.  A review of auditing methods applied to the content of controlled biomedical terminologies.

Authors:  Xinxin Zhu; Jung-Wei Fan; David M Baorto; Chunhua Weng; James J Cimino
Journal:  J Biomed Inform       Date:  2009-03-12       Impact factor: 6.317

9.  Auditing the NCI thesaurus with semantic web technologies.

Authors:  Fleur Mougin; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

10.  Crowdsourcing the verification of relationships in biomedical ontologies.

Authors:  Jonathan M Mortensen; Mark A Musen; Natalya F Noy
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16
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