TY - GEN
T1 - Tag sense disambiguation for clarifying the vocabulary of social tags
AU - Lee, Kangpyo
AU - Kim, Hyunwoo
AU - Shin, Hyopil
AU - Kim, Hyoung Joo
PY - 2009
Y1 - 2009
N2 - Tagging is one of the most popular services in Web 2.0. As a special form of tagging, social tagging is done collaboratively by many users, which forms a so-called folksonomy. As tagging has become widespread on the Web, the tag vocabulary is now very informal, uncontrolled, and personalized. For this reason, many tags are unfamiliar and ambiguous to users so that they fail to understand the meaning of each tag. In this paper, we propose a tag sense disambiguating method, called Tag Sense Disambiguation (TSD), which works in the social tagging environment. TSD can be applied to the vocabulary of social tags, thereby enabling users to understand the meaning of each tag through Wikipedia. To find the correct mappings from del.icio.us tags to Wikipedia articles, we define the Local )eighbor tags, the Global )eighbor tags, and finally the )eighbor tags that would be the useful keywords for disambiguating the sense of each tag based on the tag co-occurrences. The automatically built mappings are reasonable in most cases. The experiment shows that TSD can find the correct mappings with high accuracy.
AB - Tagging is one of the most popular services in Web 2.0. As a special form of tagging, social tagging is done collaboratively by many users, which forms a so-called folksonomy. As tagging has become widespread on the Web, the tag vocabulary is now very informal, uncontrolled, and personalized. For this reason, many tags are unfamiliar and ambiguous to users so that they fail to understand the meaning of each tag. In this paper, we propose a tag sense disambiguating method, called Tag Sense Disambiguation (TSD), which works in the social tagging environment. TSD can be applied to the vocabulary of social tags, thereby enabling users to understand the meaning of each tag through Wikipedia. To find the correct mappings from del.icio.us tags to Wikipedia articles, we define the Local )eighbor tags, the Global )eighbor tags, and finally the )eighbor tags that would be the useful keywords for disambiguating the sense of each tag based on the tag co-occurrences. The automatically built mappings are reasonable in most cases. The experiment shows that TSD can find the correct mappings with high accuracy.
KW - Folksonomy
KW - Social tagging
KW - Vocabulary
KW - Wikipedia
KW - Word sense disambiguation
UR - http://www.scopus.com/inward/record.url?scp=70849091039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70849091039&partnerID=8YFLogxK
U2 - 10.1109/CSE.2009.454
DO - 10.1109/CSE.2009.454
M3 - Conference contribution
AN - SCOPUS:70849091039
SN - 9780769538235
T3 - Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
SP - 729
EP - 734
BT - Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 2009 IEEE International Conference on Social Computing, SocialCom 2009
T2 - 2009 IEEE International Conference on Social Computing, SocialCom 2009
Y2 - 29 August 2009 through 31 August 2009
ER -