publicationentry of praveen and 10 other users:
(0)
This publication has not been reviewed yet.
rating distribution
average user rating
?
The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.
Resources (URL, PDF, PS...)
Abstract
At present tagging is experimenting a great diffusion as the
most adopted way to collaboratively classify resources over the Web. In
this paper, after a detailed analysis of the attempts made to improve the
organization and structure of tagging systems as well as the usefulness of
this kind of social data, we propose and evaluate the Tag Disambiguation
Algorithm, mining del.icio.us data. It allows to easily semantify the tags
of the users of a tagging service: it automatically finds out for each tag
the related concept of Wikipedia in order to describe Web resources
through senses. On the basis of a set of evaluation tests, we analyze
all the advantages of our sense-based way of tagging, proposing new
methods to keep the set of users tags more consistent or to classify the
tagged resources on the basis of Wikipedia categories, YAGO classes
or Wordnet synsets. We discuss also how our semanitified social tagging
data are strongly linked to DBPedia and the datasets of the Linked Data
community.
Description
In this paper, after a detailed analysis of the attempts made to improve the organization and structure of tagging systems as well as the usefulness of this kind of social data, we propose and evaluate the Tag Disambiguation Algorithm, mining del.icio.us data.
BibTeX record
Endnote record
