Literature DB >> 12463811

Usability of expressive description logics--a case study in UMLS.

R Cornet1, A Abu-Hanna.   

Abstract

Research in (medical) terminological knowledge representation is showing an increased interest in the family of Description Logics (DLs), as they allow for automatic reasoning. This interest is driven by an increase in demands on the quality of and reasoning ability with medical terminological knowledge. Recent advances in Computer Science have demonstrated the computational decidability and empirical tractability of quite expressive DLs. The question arises whether this expressivity is usable and useful. This paper motivates and describes an exploratory study to address this question by examining the surplus value of individual DL constructors based on an investigation of UMLS terms. Our study indicates that the disjunction and negation operators comprise very valuable extensions to current DLs. The impact of formalization depends on the involved semantic type; "Injury and Poisoning" is one of the semantic types in which a large portion of concepts will benefit from the extension.

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Mesh:

Year:  2002        PMID: 12463811      PMCID: PMC2244165     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

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Journal:  Int J Med Inform       Date:  2001-12       Impact factor: 4.046

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Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

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Authors:  K A Spackman; K E Campbell; R A Côté
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

5.  The GRAIL concept modelling language for medical terminology.

Authors:  A L Rector; S Bechhofer; C A Goble; I Horrocks; W A Nowlan; W D Solomon
Journal:  Artif Intell Med       Date:  1997-02       Impact factor: 5.326

  5 in total
  6 in total

1.  Aligning knowledge sources in the UMLS: methods, quantitative results, and applications.

Authors:  Olivier Bodenreider; Anita Burgun
Journal:  Stud Health Technol Inform       Date:  2004

2.  Investigating subsumption in SNOMED CT: an exploration into large description logic-based biomedical terminologies.

Authors:  Olivier Bodenreider; Barry Smith; Anand Kumar; Anita Burgun
Journal:  Artif Intell Med       Date:  2007-01-22       Impact factor: 5.326

3.  Experience in reasoning with the foundational model of anatomy in OWL DL.

Authors:  Songmao Zhang; Olivier Bodenreider; Christine Golbreich
Journal:  Pac Symp Biocomput       Date:  2006

4.  A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.

Authors:  Jean-Baptiste Lamy; Rosy Tsopra; Alain Venot; Catherine Duclos
Journal:  Stud Health Technol Inform       Date:  2013

5.  The foundational model of anatomy in OWL: Experience and perspectives.

Authors:  Christine Golbreich; Songmao Zhang; Olivier Bodenreider
Journal:  Web Semant       Date:  2006       Impact factor: 1.897

6.  Experiences mapping a legacy interface terminology to SNOMED CT.

Authors:  Geraldine Wade; S Trent Rosenbloom
Journal:  BMC Med Inform Decis Mak       Date:  2008-10-27       Impact factor: 2.796

  6 in total

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