Faced with the exponential growth of information sources, the instability of new digital forms and the convergence of data, content and records management systems, organizations are faced with increasing requirements to adopt an effective approach to exploit their information assets. Through the qualitative study of information inventories produced by Information Management experts, as well as automatic classification experiments, the research will develop a semantic model and its associated algorithms for the automatic classification of business records.