Trade-mark registration : the multilanguage aspect

This paper suggests a system dedicated to problem solving based on some machine learning concepts. Trade-Marks have important economical issues and represent many registrations per year. Registering a trade-mark, in a set of countries, represents a complex work due to the increasing amount of registered trade-marks, distributed over huge databases. Moreover, the legal advisor needs to have skills on countries language to adapt his work. This paper answers by offering a multi language decision process for nominative trade-mark infringement and is a part of a biggest project CATMInE.