Machines as readers: A solution to the copyright problem

作     者：SHAMOS Michael I. 

作者机构：School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA Department of Computer Science University of Hong Kong Hong Kong China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2005年第6卷第11期

页      面：1179-1187页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 0301[法学-法学] 120501[管理学-图书馆学] 03[法学] 030105[法学-民商法学(含：劳动法学、社会保障法学)] 120502[管理学-情报学] 

主　　题：Universal Digital Library (UDL) Copyright Digital rights management Compulsory license Berne convention Public lending right Synthetic documents Machine translation 

摘      要：Copyright and its international complications have presented a significant barrier to the Universal Digital Library （UDL）＇s mission to digitize all the published works of mankind and make them available throughout the world. We discuss the effect of existing copyright treaties and various proposals, such as compulsory licensing and the public lending fight that would allow access to copyrighted works without requiring permission of their owners. We argue that these schemes are ineffective for purposes of the UDL. Instead, making use of the international consensus that copyright does not protect facts, information or processes, we propose to scan works digitally to extract their intellectual content, and then generate by machine synthetic works that capture this content, and then translate the generated works automatically into multiple languages and distribute them free of copyright restriction.