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Anonymous folksonomies for small enterprise webs: a case study

Rowlands, Thomas; Hawking, David; Sankaranarayana, Ramesh S

Description

Tags and emergent folksonomies are a potentially rich new source of document annotations, offering query independent and dependent evidence for exploitation by information retrieval systems. Previous research has shown that tags may facilitate improved web search in an environment where each tagging action generates a (user, tag, resource) triple. For websites operated by a public institution, operational or privacy concerns may prevent the recording of data capable of identifying individuals....[Show more]

dc.contributor.authorRowlands, Thomas
dc.contributor.authorHawking, David
dc.contributor.authorSankaranarayana, Ramesh S
dc.coverage.spatialHobart Tasmania
dc.date.accessioned2015-12-10T22:15:42Z
dc.date.createdDecember 8 2008
dc.identifier.isbn9781921426216
dc.identifier.urihttp://hdl.handle.net/1885/50815
dc.description.abstractTags and emergent folksonomies are a potentially rich new source of document annotations, offering query independent and dependent evidence for exploitation by information retrieval systems. Previous research has shown that tags may facilitate improved web search in an environment where each tagging action generates a (user, tag, resource) triple. For websites operated by a public institution, operational or privacy concerns may prevent the recording of data capable of identifying individuals. This leads to a simpler anonymous tagging system but is likely to reduce user motivation for tagging, since the user cannot access their own set of tags. It also means that votes for tags are not counted, and a potentially useful joining attribute is not available. Using webpage, metadata, query, click, anchortext and tag data provided by a public museum, we demonstrate that, despite these limitations, tag data collected by an anonymous tagging system has the potential to improve retrieval effectiveness.
dc.publisherRMIT University
dc.relation.ispartofseriesAustralasian Document Computing Symposium (ADCS 2008)
dc.sourceProceedings of the Thirteenth Australasian Document Computing Symposium
dc.source.urihttp://es.csiro.au/adcs2008/
dc.subjectKeywords: Document annotation; Folksonomies; Information storage and retrieval; New sources; Privacy concerns; Public institution; Retrieval effectiveness; Small enterprise; Tagging systems; User motivation; Web searches; Web-page; Information retrieval systems; Me Information Storage and Retrieval
dc.titleAnonymous folksonomies for small enterprise webs: a case study
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2008
local.identifier.absfor080704 - Information Retrieval and Web Search
local.identifier.ariespublicationU3594520xPUB211
local.type.statusPublished Version
local.contributor.affiliationRowlands, Thomas, College of Engineering and Computer Science, ANU
local.contributor.affiliationHawking, David, College of Engineering and Computer Science, ANU
local.contributor.affiliationSankaranarayana, Ramesh S, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage35
local.bibliographicCitation.lastpage40
dc.date.updated2016-02-24T10:17:22Z
local.identifier.scopusID2-s2.0-84872876981
CollectionsANU Research Publications

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