Abstract
This paper presents a text-mining approach in order to extract candidate terms from a corpus. The relevant candidates are selected using a web-mining approach. The terms (i.e. relevant candidate terms) we find are the instances of specialized ontologies built during this process. The experiments are based on real data – Human Resources corpus – and they show the quality of our text and web mining approaches.