A. Dix, S. Levialdi, and A. Malizia. Workshop on the Social Navigation and Community based Adaptation Technologies, (2006)
Abstract
Collaborative tagging systems allow many users to add key-
words (tags) to community-shared data items. Recently, collaborative
tagging systems, also known as folksonomies, are growing on the web
allowing people to annotate content, and then query by submitting key-
words or tags. In this paper we dene aSemantic Halo, as a set of ad-
ditional information that can be provided from tagging systems to end
users when retrieving user-relevant documents. We analyze the semantic
aspects of tagging and provide an algorithm for computing theSemantic
Haloof tags. Finally, we show some preliminary results that demonstrate
the eectiveness of our approach.
%0 Conference Paper
%1 citeulike:699814
%A Dix, Alan
%A Levialdi, Stefano
%A Malizia, Alessio
%B Workshop on the Social Navigation and Community based Adaptation Technologies
%D 2006
%K collaboration semantic tagging
%T Semantic Halo for Collaboration Tagging Systems
%U http://www.sis.pitt.edu/\%7Epaws/SNC\_BAT06/crc/malizia.pdf
%X Collaborative tagging systems allow many users to add key-
words (tags) to community-shared data items. Recently, collaborative
tagging systems, also known as folksonomies, are growing on the web
allowing people to annotate content, and then query by submitting key-
words or tags. In this paper we dene aSemantic Halo, as a set of ad-
ditional information that can be provided from tagging systems to end
users when retrieving user-relevant documents. We analyze the semantic
aspects of tagging and provide an algorithm for computing theSemantic
Haloof tags. Finally, we show some preliminary results that demonstrate
the eectiveness of our approach.
@inproceedings{citeulike:699814,
abstract = {Collaborative tagging systems allow many users to add key-
words (tags) to community-shared data items. Recently, collaborative
tagging systems, also known as folksonomies, are growing on the web
allowing people to annotate content, and then query by submitting key-
words or tags. In this paper we dene aSemantic Halo, as a set of ad-
ditional information that can be provided from tagging systems to end
users when retrieving user-relevant documents. We analyze the semantic
aspects of tagging and provide an algorithm for computing theSemantic
Haloof tags. Finally, we show some preliminary results that demonstrate
the eectiveness of our approach.},
added-at = {2010-02-22T20:42:06.000+0100},
author = {Dix, Alan and Levialdi, Stefano and Malizia, Alessio},
biburl = {https://www.bibsonomy.org/bibtex/2bc4791c75c15b80460c695db084b5235/arminhs},
booktitle = {Workshop on the Social Navigation and Community based Adaptation Technologies},
citeulike-article-id = {699814},
interhash = {0a3c0a88b53035150229588efaecf987},
intrahash = {bc4791c75c15b80460c695db084b5235},
keywords = {collaboration semantic tagging},
posted-at = {2007-02-03 22:03:40},
priority = {2},
timestamp = {2010-02-22T20:42:06.000+0100},
title = {Semantic Halo for Collaboration Tagging Systems},
url = {http://www.sis.pitt.edu/\%7Epaws/SNC\_BAT06/crc/malizia.pdf},
year = 2006
}