Literature DB >> 8130547

Semantic processing in information retrieval.

T C Rindflesch1, A R Aronson.   

Abstract

Intuition suggests that one way to enhance the information retrieval process would be the use of phrases to characterize the contents of text. A number of researchers, however, have noted that phrases alone do not improve retrieval effectiveness. In this paper we briefly review the use of phrases in information retrieval and then suggest extensions to this paradigm using semantic information. We claim that semantic processing, which can be viewed as expressing relations between the concepts represented by phrases, will in fact enhance retrieval effectiveness. The availability of the UMLS domain model, which we exploit extensively, significantly contributes to the feasibility of this processing.

Mesh:

Year:  1993        PMID: 8130547      PMCID: PMC2850649     

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


  8 in total

1.  UMLS concept indexing for production databases: a feasibility study.

Authors:  P Nadkarni; R Chen; C Brandt
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

2.  An overview of MetaMap: historical perspective and recent advances.

Authors:  Alan R Aronson; François-Michel Lang
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

3.  MachineProse: an ontological framework for scientific assertions.

Authors:  Deendayal Dinakarpandian; Yugyung Lee; Kartik Vishwanath; Rohini Lingambhotla
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

4.  Automated semantic indexing of figure captions to improve radiology image retrieval.

Authors:  Charles E Kahn; Daniel L Rubin
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

5.  Unsupervised mining of frequent tags for clinical eligibility text indexing.

Authors:  Riccardo Miotto; Chunhua Weng
Journal:  J Biomed Inform       Date:  2013-09-10       Impact factor: 6.317

6.  Automatic semantic interpretation of anatomic spatial relationships in clinical text.

Authors:  C A Bean; T C Rindflesch; C A Sneiderman
Journal:  Proc AMIA Symp       Date:  1998

7.  Identification of anatomical terminology in medical text.

Authors:  C A Sneiderman; T C Rindflesch; C A Bean
Journal:  Proc AMIA Symp       Date:  1998

8.  Searching for information on the Internet using the UMLS and Medical World Search.

Authors:  H H Suarez; X Hao; I F Chang
Journal:  Proc AMIA Annu Fall Symp       Date:  1997
  8 in total

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