Categorisation for small-medium sized information systems - an exploration

dc.contributor.authorSinclair, James Robert
dc.date.accessioned2012-10-30T04:23:10Z
dc.date.available2012-10-30T04:23:10Z
dc.date.issued2007
dc.description.abstractThis thesis is an exploratory study, investigating the causes and mechanisms of categorisation problems in information systems. Looking at both cognitive functions in the brain and the context of information systems shows that categorisation is far from simple. Individuals vary so greatly as to make the design of a perfect categorisation scheme impossible. At the same time however, category structures in the mind are not arbitrary or random, and there are many commonalities between people. Hence a good categorisation scheme will find a balance between accommodating individual differences and encouraging conformity. The investigation process revealed a gap in the literature concerning assumptions about how to solve the problem. Most proposed solutions assume that an expert administrator is available to maintain category structures, that the items to be categorised will be primarily textual, and that the dataset will be very large. The reality is however, that these assumptions do not always hold true. This thesis proposes that by using tag clouds and clustering techniques, folksonomies can be adapted to suit smaller information systems where no dedicated administrator is available to maintain the category scheme. This was demonstrated through a number of experiments evaluating these approaches.en_AU
dc.identifier.otherb23552670
dc.identifier.urihttp://hdl.handle.net/1885/9469
dc.language.isoen_AUen_AU
dc.subjectcategorisationen_AU
dc.subjecttaggingen_AU
dc.subjectfolksonomiesen_AU
dc.subjectfolksonomyen_AU
dc.subjecttag cloudsen_AU
dc.subjectclustering algorithmsen_AU
dc.titleCategorisation for small-medium sized information systems - an explorationen_AU
dc.typeThesis (PhD)en_AU
dcterms.valid2007en_AU
local.contributor.affiliationDepartment of Engineering, Faculty of Engineering and Information Technologyen_AU
local.contributor.authoremailjrsinclair@gmail.comen_AU
local.contributor.supervisorCardew-Hall, Michael
local.contributor.supervisorcontactMichael.Cardew-Hall@anu.edu.au
local.description.notesSupervisor: Michael Cardew-Hall Supervisor's Email Address: Michael.Cardew-Hall@anu.edu.auen_AU
local.description.refereedYesen_AU
local.identifier.doi10.25911/5d78dafd53329
local.mintdoimint
local.type.degreeDoctor of Philosophy (PhD)en_AU

Downloads

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
02Whole_Sinclair.pdf
Size:
13.61 MB
Format:
Adobe Portable Document Format
Description:
Whole Thesis
Loading...
Thumbnail Image
Name:
01Front_Sinclair.pdf
Size:
564.55 KB
Format:
Adobe Portable Document Format
Description:
Front Matter

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
70 B
Format:
Item-specific license agreed upon to submission
Description:
Back to topicon-arrow-up-solid
 
APRU
IARU
 
edX
Group of Eight Member

Acknowledgement of Country

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.


Contact ANUCopyrightDisclaimerPrivacyFreedom of Information

+61 2 6125 5111 The Australian National University, Canberra

TEQSA Provider ID: PRV12002 (Australian University) CRICOS Provider Code: 00120C ABN: 52 234 063 906