Conference proceeding
The HIVE impact: contributing to consistency via automatic indexing
Proceedings of the 2012 iConference, pp 582-584
07 Feb 2012
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.
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2 citations in Scopus
Details
- Title
- The HIVE impact
- Creators
- Hollie White - Duke UniversityCraig WillisJane Greenberg - University of North Carolina at Chapel Hill
- Publication Details
- Proceedings of the 2012 iConference, pp 582-584
- Series
- iConference '12
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84857672590
- Other Identifier
- 991020531977704721