DocumentCode
1807725
Title
Tag Sense Disambiguation for Clarifying the Vocabulary of Social Tags
Author
Lee, Kangpyo ; Kim, Hyunwoo ; Shin, Hyopil ; Kim, Hyoung-Joo
Author_Institution
Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea
Volume
4
fYear
2009
fDate
29-31 Aug. 2009
Firstpage
729
Lastpage
734
Abstract
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 neighbor tags, the global neighbor tags, and finally the neighbor tags that would be the useful key-words 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.
Keywords
Internet; classification; vocabulary; Web 2.0; Wikipedia; folksonomy; global neighbor tags; local neighbor tags; social tagging; tag sense disambiguation; tag vocabulary; Collaboration; Computer science; Dictionaries; Frequency; Ontologies; Tagging; Thesauri; Uniform resource locators; Vocabulary; Wikipedia; Wikipedia; folksonomy; social tagging; vocabulary; word sense disambiguation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4244-5334-4
Electronic_ISBN
978-0-7695-3823-5
Type
conf
DOI
10.1109/CSE.2009.454
Filename
5283425
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