The HIVE impact: Contributing to consistency via automatic indexing

Hollie White, Jane Greenberg, Craig Alan Willis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research has shown that automatic subject indexing is more efficient and consistent than manual indexing; yet many organizations continue to use manual indexing because of the unacceptable quality of automatically produced results. This poster presents the results of an exploratory experiment examining consistency stemming from a machine-aided indexing approach. The HIVE vocabulary server was used to present concepts to 31 workshop participants. The presentation of terms via an automatic sequence reduced the indexer burden and contributed to increased consistency. This poster reports initial results and provides a framework for further exploration of automatic indexing in manual workflows.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 iConference
Subtitle of host publicationCulture, Design, Society, iConference 2012
Pages582-584
Number of pages3
DOIs
StatePublished - Mar 6 2012
Externally publishedYes
Event2012 iConference: Culture, Design, Society, iConference 2012 - Toronto, ON, Canada
Duration: Feb 7 2012Feb 10 2012

Publication series

NameACM International Conference Proceeding Series

Other

Other2012 iConference: Culture, Design, Society, iConference 2012
CountryCanada
CityToronto, ON
Period2/7/122/10/12

Keywords

  • automatic indexing aids
  • controlled indexing
  • inter-indexer consistency

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    White, H., Greenberg, J., & Willis, C. A. (2012). The HIVE impact: Contributing to consistency via automatic indexing. In Proceedings of the 2012 iConference: Culture, Design, Society, iConference 2012 (pp. 582-584). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2132176.2132297