Literature DB >> 10786066

Understanding terminological systems. II: Experience with conceptual and formal representation of structure.

N F de Keizer1, A Abu-Hanna.   

Abstract

This article describes the application of two popular conceptual and formal representation formalisms, as part of a framework for understanding terminological systems. A precise understanding of the structure of a terminological system is essential to assess existing terminological systems, to recognize patterns in various systems and to build new terminological systems. Our experience with the application of this framework to five well-known terminological systems is described.

Mesh：

Year:  2000        PMID： 10786066

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


  5 in total

Review 1.  Natural Language Processing methods and systems for biomedical ontology learning.

Authors:  Kaihong Liu; William R Hogan; Rebecca S Crowley
Journal:  J Biomed Inform       Date:  2010-07-18       Impact factor: 6.317

2.  Effectiveness of lexico-syntactic pattern matching for ontology enrichment with clinical documents.

Authors:  K Liu; W W Chapman; G Savova; C G Chute; N Sioutos; R S Crowley
Journal:  Methods Inf Med       Date:  2010-11-08       Impact factor: 2.176

3.  Topological analysis of large-scale biomedical terminology structures.

Authors:  Michael E Bales; Yves A Lussier; Stephen B Johnson
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

4.  Alignment of the UMLS semantic network with BioTop: methodology and assessment.

Authors:  Stefan Schulz; Elena Beisswanger; László van den Hoek; Olivier Bodenreider; Erik M van Mulligen
Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

5.  NOBLE - Flexible concept recognition for large-scale biomedical natural language processing.

Authors:  Eugene Tseytlin; Kevin Mitchell; Elizabeth Legowski; Julia Corrigan; Girish Chavan; Rebecca S Jacobson
Journal:  BMC Bioinformatics       Date:  2016-01-14       Impact factor: 3.169
  5 in total

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