Literature DB >> 14728266

The dimensions of indexing.

W John Wilbur1, Won Kim.   

Abstract

Indexing of documents is an important strategy intended to make the literature more readily available to the user. Here we describe several dimensions of indexing that are important if indexing is to be optimal. These dimensions are coverage, predictability, and transparency. MeSH terms and text words are compared in MEDLINE in regard to these dimensions. Part of our analysis consists in applying AdaBoost with decisions trees as the weak learners to estimate how reliably index terms are being assigned and how complex the criteria are by which they are being assigned. Our conclusions are that MeSH terms are more predictable and more transparent than text words.

Mesh:

Year:  2003        PMID: 14728266      PMCID: PMC1480214     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Automatic MeSH term assignment and quality assessment.

Authors:  W Kim; A R Aronson; W J Wilbur
Journal:  Proc AMIA Symp       Date:  2001

2.  Developments in automatic text retrieval.

Authors:  G Salton
Journal:  Science       Date:  1991-08-30       Impact factor: 47.728

3.  Words or concepts: the features of indexing units and their optimal use in information retrieval.

Authors:  Y Yang; C G Chute
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

4.  Indexing consistency in MEDLINE.

Authors:  M E Funk; C A Reid
Journal:  Bull Med Libr Assoc       Date:  1983-04
  4 in total
  1 in total

1.  A model for indexing medical documents combining statistical and symbolic knowledge.

Authors:  Paul Avillach; Michel Joubert; Marius Fieschi
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11
  1 in total

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