By Topic

Using fuzzy sets to model information provided by social tagging

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yager, R.R. ; Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA ; Reformat, M.Z.

User's involvement in creating contents of the web is an essential element of Web 2.0 and social software. One example of such involvement is a process called tagging: users annotate digital items, called resources, with labels, called tags. Tags used for annotation represent users' categorization and perception of resources. As the result a network of interconnected resources and tags is created. Such a network is meant to simplify a search process for relevant content. The paper introduced the idea of constructing fuzzy sets based on the network of resources and tags. One of possible ways of building fuzzy representation of tags is proposed and described here. It is shown how those fuzzy sets can be used for search purposes.

Published in:

Fuzzy Systems (FUZZ), 2010 IEEE International Conference on

Date of Conference:

18-23 July 2010