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Web Information Retrieval in Collaborative Tagging Systems

by: Sheung-On Choy, and A.K. Lui

In: Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on (2006) , p. 352-355.

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URL:	http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4061393
DOI:	10.1109/WI.2006.191

Collaborative tagging on the Web has been quickly gaining ground as a new paradigm for Web information retrieval, discovering and filtering. There are a number of successful deployments of collaborative tagging systems that effectively recruits the activity of human users into collecting and annotating vast amounts of Web resources. They lead to an emergent categorization of Web resources in terms of tags, and create a different kind of Web directory. However, the current ways of exploration in the tagging space are limited, which cannot get the most out of the real value of it. This paper presents our methodology, observations, and experimental results in the way we propose how to improve the user experience in exploring information captured by collaborative tagging systems

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IEEE Xplore# Wrapper Result

BibTeX record

@inproceedings{SheungOnChoy:2006,
  abstract = {Collaborative tagging on the Web has been quickly gaining ground as a new paradigm for Web information retrieval, discovering and filtering. There are a number of successful deployments of collaborative tagging systems that effectively recruits the activity of human users into collecting and annotating vast amounts of Web resources. They lead to an emergent categorization of Web resources in terms of tags, and create a different kind of Web directory. However, the current ways of exploration in the tagging space are limited, which cannot get the most out of the real value of it. This paper presents our methodology, observations, and experimental results in the way we propose how to improve the user experience in exploring information captured by collaborative tagging systems},
  added-at = {2007-09-30T17:58:30.000+0200},
  author = {Choy, Sheung-On and Lui, A.K.},
  biburl = {http://www.bibsonomy.org/bibtex/25ff241f25e900781577bed68ed2cb217/wnpxrz},
  booktitle = {Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on},
  description = {IEEE Xplore# Wrapper Result},
  doi = {10.1109/WI.2006.191},
  interhash = {4a64f17d0cfa9e444bf0a55f80c66def},
  intrahash = {5ff241f25e900781577bed68ed2cb217},
  isbn = {0-7695-2747-7},
  keywords = {collaborative imported ir tagging web},
  pages = {352-355},
  timestamp = {2007-09-30T17:58:30.000+0200},
  title = {Web Information Retrieval in Collaborative Tagging Systems},
  url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4061393},
  year = 2006
}

Endnote record

%0 Conference Paper
%1 SheungOnChoy:2006
%A Choy, Sheung-On
%A Lui, A.K.
%B Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
%@ 0-7695-2747-7
%D 2006
%K 
%P 352-355
%T Web Information Retrieval in Collaborative Tagging Systems
%R 10.1109/WI.2006.191
%U http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4061393
%X Collaborative tagging on the Web has been quickly gaining ground as a new paradigm for Web information retrieval, discovering and filtering. There are a number of successful deployments of collaborative tagging systems that effectively recruits the activity of human users into collecting and annotating vast amounts of Web resources. They lead to an emergent categorization of Web resources in terms of tags, and create a different kind of Web directory. However, the current ways of exploration in the tagging space are limited, which cannot get the most out of the real value of it. This paper presents our methodology, observations, and experimental results in the way we propose how to improve the user experience in exploring information captured by collaborative tagging systems