LAUSR

Abstract Emphasis on knowledge and information is one of the challenges of the 21st century to differentiate the intelligent business enterprises. Enterprises have to develop their organization in order to capture, manage, and use information in a context of continually changing technology. Indeed knowledge and information are completely distributed in the information network of the company. In addition, knowledge is by nature, heterogeneous since it is provided from different information sources like the software, the technical report, the meeting statements, etc. We present in this paper the architecture of a multi-agent system, which allows the capitalization of the distributed and heterogeneous knowledge. We then present how the agents help business experts to design ontologies in detailing this problematic and how the agents extract knowledge from different users’ databases by using a semantic approach.