TY - GEN
T1 - Collective collaborative tagging system
AU - Choi, Jong Y.
AU - Rosen, Joshua
AU - Maini, Siddharth
AU - Pierce, Marlon E.
AU - Fox, Geoffrey C.
PY - 2008
Y1 - 2008
N2 - Currently in the Internet many collaborative tagging sites exist, but there is the need for a service to integrate the data from the multiple sites to form a large and unified set of collaborative data from which users can have more accurate and richer information than from a single site. In our paper, we have proposed a collective collaborative tagging (CCT) service architecture in which both service providers and individual users can merge folksonomy data (in the form of keyword tags) stored in different sources to build a larger, unified repository. We have also examined a range of algorithms that can be applied to different problems in folksonomy analysis and information discovery. These algorithms address several common problems for online systems: searching, getting recommendations, finding communities of similar users, and finding interesting new information by trends. Our contributions are to a) systematically examine the available public algorithms' application to tag-based folksonomies, and b) to propose a service architecture that can provide these algorithms as online capabilities.
AB - Currently in the Internet many collaborative tagging sites exist, but there is the need for a service to integrate the data from the multiple sites to form a large and unified set of collaborative data from which users can have more accurate and richer information than from a single site. In our paper, we have proposed a collective collaborative tagging (CCT) service architecture in which both service providers and individual users can merge folksonomy data (in the form of keyword tags) stored in different sources to build a larger, unified repository. We have also examined a range of algorithms that can be applied to different problems in folksonomy analysis and information discovery. These algorithms address several common problems for online systems: searching, getting recommendations, finding communities of similar users, and finding interesting new information by trends. Our contributions are to a) systematically examine the available public algorithms' application to tag-based folksonomies, and b) to propose a service architecture that can provide these algorithms as online capabilities.
UR - http://www.scopus.com/inward/record.url?scp=62949119195&partnerID=8YFLogxK
U2 - 10.1109/GCE.2008.4738442
DO - 10.1109/GCE.2008.4738442
M3 - Conference contribution
AN - SCOPUS:62949119195
SN - 9781424428601
T3 - Grid Computing Environments Workshop, GCE 2008
BT - Grid Computing Environments Workshop, GCE 2008
T2 - Grid Computing Environments Workshop, GCE 2008
Y2 - 12 November 2008 through 16 November 2008
ER -