The HIVE impact: contributing to consistency via automatic indexing

Authors:
Hollie White;Craig Willis;Jane Greenberg
Affiliations:
Duke University, Durham, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC
Venue:
Proceedings of the 2012 iConference
Year:
2012

Citing 4
Cited 0

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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.