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Computational linguistics for metadata building
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International Conference on Digital Libraries archive
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries table of contents
Pittsburgh PA, PA, USA
DEMONSTRATION SESSION: Demonstrations table of contents
Pages 427-427  
Year of Publication: 2008
ISBN:978-1-59593-998-2
Authors
Judith L. Klavans  University of Maryland College Park, College Park, MD, USA
Carolyn Sheffield  University of Maryland College Park, College Park, MD, USA
Jimmy Lin  University of Maryland College Park, College Park, MD, USA
Tandeep Sidhu  University of Maryland College Park, College Park, MD, USA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 67,   Citation Count: 1
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abstract   cited by   index terms   collaborative colleagues  

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DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1378889.1378974
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ABSTRACT

In this paper, we describe a downloadable text-mining tool for enhancing subject access to image collections in digital libraries.


CITED BY
Leonardo Lesmo , Alessandro Mazzei , Daniele P. Radicioni, Extracting semantic annotations from legal texts, Proceedings of the 20th ACM conference on Hypertext and hypermedia, June 29-July 01, 2009, Torino, Italy

INDEX TERMS

Primary Classification:
  J. Computer Applications
  J.5 ARTS AND HUMANITIES
      Subjects: Linguistics

Additional Classification:
  I. Computing Methodologies
  I.7 DOCUMENT AND TEXT PROCESSING
      I.7.0 General

  J. Computer Applications
  J.5 ARTS AND HUMANITIES
      Subjects: Fine arts; Architecture


General Terms:
Algorithms, Design, Experimentation, Human Factors


Keywords:
computational linguistics, disambiguation, image access, image indexing, metadata mining, ontologies, text categorization, text mining

Collaborative Colleagues:
Judith L. Klavans: colleagues
Carolyn Sheffield: colleagues
Jimmy Lin: colleagues
Tandeep Sidhu: colleagues

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