HIVEing: the effect of a semantic web technology on inter-indexer consistency. Issue 3 (6th May 2014)
- Record Type:
- Journal Article
- Title:
- HIVEing: the effect of a semantic web technology on inter-indexer consistency. Issue 3 (6th May 2014)
- Main Title:
- HIVEing: the effect of a semantic web technology on inter-indexer consistency
- Authors:
- White, Hollie
Willis, Craig
Greenberg, Jane - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to examine the effect of the Helping Interdisciplinary Vocabulary Engineering (HIVE) system on the inter-indexer consistency of information professionals when assigning keywords to a scientific abstract. This study examined first, the inter-indexer consistency of potential HIVE users; second, the impact HIVE had on consistency; and third, challenges associated with using HIVE. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – A within-subjects quasi-experimental research design was used for this study. Data were collected using a task-scenario based questionnaire. Analysis was performed on consistency results using Hooper's and Rolling's inter-indexer consistency measures. A series of <italic>t</italic>-tests was used to judge the significance between consistency measure results. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – Results suggest that HIVE improves inter-indexing consistency. Working with HIVE increased consistency rates by 22 percent (Rolling's) and 25 percent (Hooper's) when selecting relevant terms from all vocabularies. A statistically significant difference exists between the assignment of free-text keywords and machine-aided keywords. Issues with homographs, disambiguation, vocabulary choice, and<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to examine the effect of the Helping Interdisciplinary Vocabulary Engineering (HIVE) system on the inter-indexer consistency of information professionals when assigning keywords to a scientific abstract. This study examined first, the inter-indexer consistency of potential HIVE users; second, the impact HIVE had on consistency; and third, challenges associated with using HIVE. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – A within-subjects quasi-experimental research design was used for this study. Data were collected using a task-scenario based questionnaire. Analysis was performed on consistency results using Hooper's and Rolling's inter-indexer consistency measures. A series of <italic>t</italic>-tests was used to judge the significance between consistency measure results. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – Results suggest that HIVE improves inter-indexing consistency. Working with HIVE increased consistency rates by 22 percent (Rolling's) and 25 percent (Hooper's) when selecting relevant terms from all vocabularies. A statistically significant difference exists between the assignment of free-text keywords and machine-aided keywords. Issues with homographs, disambiguation, vocabulary choice, and document structure were all identified as potential challenges. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – Research limitations for this study can be found in the small number of vocabularies used for the study. Future research will include implementing HIVE into the Dryad Repository and studying its application in a repository system. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – This paper showcases several features used in HIVE system. By using traditional consistency measures to evaluate a semantic web technology, this paper emphasizes the link between traditional indexing and next generation machine-aided indexing (MAI) tools.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of documentation. Volume 70:Issue 3(2014)
- Journal:
- Journal of documentation
- Issue:
- Volume 70:Issue 3(2014)
- Issue Display:
- Volume 70, Issue 3 (2014)
- Year:
- 2014
- Volume:
- 70
- Issue:
- 3
- Issue Sort Value:
- 2014-0070-0003-0000
- Page Start:
- 307
- Page End:
- 329
- Publication Date:
- 2014-05-06
- Subjects:
- Documentation -- Periodicals
Library science -- Periodicals
025 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://www.emeraldinsight.com/journals.htm?issn=0022-0418 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JD-07-2012-0083 ↗
- Languages:
- English
- ISSNs:
- 0022-0418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4970.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4329.xml