1. A computer-based method for operating upon a store of social networking data representative of members of an organization in order to provide mentoring services within the organization, the computer-based method comprising the steps of: identifying, by a computer, concepts within a mentor member's (mentor) social networking tagging data that are familiar to the mentor, with mentor concept labels; identifying, by the computer, concepts within a mentee member's (mentee) social networking tagging data that are familiar to mentee, with mentee concept labels; matching, by the computer, mentors to mentees based on a comparison of said respective mentor and mentee concept labels; and delivering, by the computer, mentoring services based on the matching, wherein the matching includes steps of: filtering, by the computer, the mentor's social networking tagging data and the mentee's social networking tagging data; building, by the computer, an N-dimensional semantic model of the mentor's and mentee's filtered social networking tagging data; calculating, by the computer, a probability distribution of the built N-dimensional semantic model based on the identified concepts within the mentor's and mentee's filtered social networking tagging data; performing a text mining method with the calculated probability distribution to distinguish concepts familiar to both the mentor and the mentee from concepts familiar to the mentor but unfamiliar to the mentee; extracting, by the computer, the concepts familiar to both the mentor and to the mentee based on the distinguishing; and obtaining, by the computer, the distinguished concepts familiar to the mentor but unfamiliar to the mentee.