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Text and Web Mining Approaches in Order to Build Specialized Ontologies

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) found by this process are the instances of specialized ontologies built. The experiments based on real data - Human Resources corpus - show the quality of our text and web mining approaches.