2. A method of claim 1 , further comprising: clustering the tags into a plurality of tag sets based on a correlation among the tags within each of the tag sets; performing probabilistic matching on the tags against an expertise category model to select one or more tags in each tag set with high probabilities of matching; presenting the selected one or more tags to the user for confirmation; and inserting the confirmed one or more tags into a user profile, wherein the model of the user's expertise is created using, at least in part, the user profile.
2. A method of claim 1 , further comprising: clustering the tags into a plurality of tag sets based on a correlation among the tags within each of the tag sets; performing probabilistic matching on the tags against an expertise category model to select one or more tags in each tag set with high probabilities of matching; presenting the selected one or more tags to the user for confirmation; and inserting the confirmed one or more tags into a user profile, wherein the model of the user's expertise is created using, at least in part, the user profile. 6. A method of claim 2 , further comprising: receiving an input, from the user, specifying a professional or social website; soliciting a rating of the user based upon the one or more categories included in the model of the user's expertise by peers associated with the professional or social website; and adjusting the model of the user's expertise based upon the rating.