Trade-mark registration : the multilanguage aspect

Author

Renaux, Pierre ; Zreik, Khaldoun

Author_Institution

Doctorant en Informatique, Univ. de Cean, France

fYear

2004

fDate

19-23 April 2004

Firstpage

439

Lastpage

440

Abstract

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.

Keywords

decision theory; distributed databases; learning (artificial intelligence); natural languages; problem solving; risk management; trademarks; countries language; distributed database; legal advisor; machine learning concept; multi language decision process; nominative trade-mark infringement; problem solving; project CATMInE; trade-mark registration; Data mining; Distributed databases; Feedback; Interactive systems; Knowledge representation; Law; Legal factors; Machine learning; Problem-solving; Protection;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on

Print_ISBN

0-7803-8482-2

Type

conf

DOI

10.1109/ICTTA.2004.1307820

Filename

1307820