The indissociable industrial context of the evolution of Communication and Information Technologies today brings new forms of organizations strongly based on collaborations between firms. In this context of collaborative networks, the quality emergence of the new partnerships depends largely on the treatment and the share of information. Within the framework of virtual organisations, we are developing a decision support approach to assist the identification of collaborative corporate networks. This approach is based on an automated procedure of information extraction aiming to identify key features of potential partners. The added value of this research is to operate in an "open universe" of potential partners, using the company's public web sites as the main source of information. The key features we are extracting concern activity fields and competencies of the firms. This research consists in the realisation of search systems of automatic extraction of information starting from theWeb (web site of the companies). The objective is to meet the needs for an opened informational environment, concerning the companies. The thesis aims at developing targeted mechanisms of extraction of information, which will be used preliminary to the application of decision-making tools aid in the field of inter-company collaborations between firms. The contribution is based on a major semantic representation of information while being based on the semantic ontology, bonds and a linguistic treatment articulated around the use of the syntactic pattern. Two mechanisms of information extraction are installed, one directed on the identification of the sectors lines of business and the other directed on the extraction of companies' competences.
Devices of research and data processing to help the networks constitution of enterprises