mirage

Collaborative querying using the Query Graph Visualizer

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

Collaborative querying using the Query Graph Visualizer

Show simple item record

dc.contributor.author Goh, Dion Hoe-Lian
dc.contributor.author Fu, Lin
dc.contributor.author Foo, Schubert Shou Boon
dc.date.accessioned 2010-01-05T06:22:35Z
dc.date.available 2010-01-05T06:22:35Z
dc.date.copyright 2005
dc.date.issued 2010-01-05T06:22:35Z
dc.identifier.citation Goh, D., Fu, L., & Foo, S. (2005). Collaborative querying using the query graph visualizer. Online Information Review, 29(3), 266-282.
dc.identifier.issn 1468-4527
dc.identifier.uri http://hdl.handle.net/10220/6182
dc.description.abstract Information overload has led to a situation where users are swamped with too much information, resulting in difficulty sifting through material in search of relevant content. We address this issue from the perspective of collaborative querying, an approach that helps users formulate queries by harnessing the collective knowledge of other searchers. We describe the design and implementation of the Query Graph Visualizer (QGV), a collaborative querying system which harvests and clusters previously issued queries to form query networks that represent related information needs. The queries in the network are explored in the QGV, helping users locate other queries that might meet their current information needs. A preliminary evaluation of the QGV is also described and results suggest the usefulness and usability of the system.
dc.format.extent 28 p.
dc.language.iso en
dc.relation.ispartofseries Online information review
dc.rights Online Information Review @ copyright 2005 Emerald. The journal's website is located at http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Article&contentId=1509086.
dc.subject DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
dc.title Collaborative querying using the Query Graph Visualizer
dc.type Journal Article
dc.identifier.doi http://dx.doi.org/10.1108/14684520510607588
dc.description.version Published version

Files in this item

Files Size Format View Description
2005-qgv-oir.pdf 392.7Kb PDF View/Open Main article

This item appears in the following Collection(s)

Show simple item record

Statistics

Total views

All Items Views
Collaborative querying using the Query Graph Visualizer 476

Total downloads

All Bitstreams Views
2005-qgv-oir.pdf 240

Top country downloads

Country Code Views
Singapore 65
United States of America 63
China 55
Unknown Country 6
Russian Federation 6

Top city downloads

city Views
Singapore 65
Beijing 42
Mountain View 35
Los Angeles 10
Columbus 3