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Tag clouds for summarizing web search results
Full text PdfPdf (291 KB)
Source
International World Wide Web Conference archive
Proceedings of the 16th international conference on World Wide Web table of contents
Banff, Alberta, Canada
POSTER SESSION: Search table of contents
Pages: 1203 - 1204  
Year of Publication: 2007
ISBN:978-1-59593-654-7
Authors
Byron Y-L Kuo  iCAPTURE Centre for Cardiovascular and Pulmonary Research. The University of British Columbia. St. Paul.s Hospital., Vancouver, BC, Canada
Thomas Hentrich  iCAPTURE Centre for Cardiovascular and Pulmonary Research. The University of British Columbia. St. Paul.s Hospital., Vancouver, BC, Canada
Benjamin M . Good  iCAPTURE Centre for Cardiovascular and Pulmonary Research. The University of British Columbia. St. Paul.s Hospital., Vancouver, BC, Canada
Mark D. Wilkinson  iCAPTURE Centre for Cardiovascular and Pulmonary Research. The University of British Columbia. St. Paul.s Hospital., Vancouver, BC, Canada
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 27,   Downloads (12 Months): 261,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

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ABSTRACT

In this paper, we describe an application, PubCloud that uses tagclouds for the summarization of results from queries over thePubMed database of biomedical literature. PubCloud responds toqueries of this database with tag clouds generated from wordsextracted from the abstracts returned by the query. The results ofa user study comparing the PubCloud tag-cloud summarization ofquery results with the standard result list provided by PubMedindicated that the tag cloud interface is advantageous in presenting descriptive information and in reducing user frustrationbut that it is less effective at the task of enabling users to discoverrelations between concepts.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Connotea: free online reference management for clinicians and scientists, http://www.connotea.org/.
 
2
Tag cloud -- Wikipedia, the free encyclopedia, http://en.wikipedia.org/wiki/Tag_cloud.
 
3
Welcome to Flickr!, http://www.flickr.com/.
 
4
McEntyre, J. and Lipman, D. PubMed: bridging the information gap. Cmaj, 164 (9). 1317--1319.
 
5
Porter, M.F. An algorithm for suffix stripping. Program, 14 (3). 130--137.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Query formulation

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models; Search process; Information filtering


General Terms:
Design, Experimentation, Human Factors, Languages, Verification


Keywords:
PubMed, content summarization, literature search, natural language processing, tag cloud, tagging, text mining, visualization

Collaborative Colleagues:
Byron Y-L Kuo: colleagues
Thomas Hentrich: colleagues
Benjamin M . Good: colleagues
Mark D. Wilkinson: colleagues

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