Information Sciences: an International Journal
How tagging pragmatics influence tag sense discovery in social annotation systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
A framework for tag-aware recommender systems
Expert Systems with Applications: An International Journal
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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 Disambigu-ation (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 cor-rect mappings with high accuracy.