Literature DB >> 8130562

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

Y Yang1, C G Chute.   

Abstract

Words or Concepts, which are a better choice for indexing the contents of documents? The answer depends on what method is used for retrieval. This paper studies the effects of using canonical concepts versus document words in different retrieval systems with a testing collection of MEDLINE documents. In our tests, for a retrieval system which does not use any human knowledge, using words yielded better retrieval results, while using concepts suffered from a vocabulary difference between canonical expressions of concepts and non-canonical words in queries or documents. For a system which depends on the UMLS synonym set for a mapping from queries or documents to canonical concepts, the retrieval results were slightly better than the case of not using the synonyms, but still worse than the systems using words. For the systems which automatically "learn" empirical connections between words and concepts from examples in the testing collection, the vocabulary problem was effectively solved, and the results of using concepts were competitive or better, compared to those using words.

Entities:  

Mesh:

Year:  1993        PMID: 8130562      PMCID: PMC2850662     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  6 in total

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Authors:  Y Yang; C G Chute
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

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Authors:  W R Hersh; D H Hickam; T J Leone
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

3.  Evaluation of SAPHIRE: an automated approach to indexing and retrieving medical literature.

Authors:  W Hersh; D H Hickam; R B Haynes; K A McKibbon
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

4.  Global text matching for information retrieval.

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

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

6.  Online access to MEDLINE in clinical settings. A study of use and usefulness.

Authors:  R B Haynes; K A McKibbon; C J Walker; N Ryan; D Fitzgerald; M F Ramsden
Journal:  Ann Intern Med       Date:  1990-01-01       Impact factor: 25.391

  6 in total
  5 in total

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Authors:  X Liu; R B Altman
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3.  Retrieval feedback in MEDLINE.

Authors:  P Srinivasan
Journal:  J Am Med Inform Assoc       Date:  1996 Mar-Apr       Impact factor: 4.497

4.  An application of Expert Network to clinical classification and MEDLINE indexing.

Authors:  Y Yang; C G Chute
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

5.  Evaluation of Term Ranking Algorithms for Pseudo-Relevance Feedback in MEDLINE Retrieval.

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Journal:  Healthc Inform Res       Date:  2011-06-30
  5 in total

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