文本与数据挖掘合理使用例外规范的体系化设置  

The Legal Inclusion of Fair Use to Text and Data Mining

作　　者：杨娟[1,2] YANG Juan

机构地区：[1]山东大学(威海)法学院 [2]淮北师范大学马克思主义学院

出　　处：《图书馆论坛》2020年第4期141-150,共10页Library Tribune

基　　金：安徽省哲学社会科学规划项目“非诉讼纠纷解决机制中强制性规范设置问题研究”(项目编号:AHSKQ2016D09)研究成果。

摘　　要：近年国际上掀起文本与数据挖掘(TDM)立法热,而我国《著作权法》(修改草案第三稿)没有给予正面回应。作为新的知识发现技术,TDM的风险主要在于外部溢出,即TDM结果的对外传播。文章采用规范分析与比较法方法,通过概念辨析、意义阐释和国际立法例梳理,提出TDM立法的最佳方案是设置著作权合理使用例外规范,并在整体上构建精致的框架性结构体系,建议我国立法在TDM主体、目的、客体、行为等4个层面形成封闭式许可例外规范体系。In recent years,there has been a boom of text and data mining(TDM)legislations internationally.But the third draft of Chinese Copyright Law does not give sufficient attention to it.As a new knowledge discovery process,the primary risk of TDM is the unrestricted external dissemination of its results.Through concept analysis,interpretation and case study of international legislations,and by normative analysis and comparison method,this article suggests that the best approach for TDM legislation in China is to design a comprehensive framework and set forth the fair use exception.It also suggests that China's legislation should provide a system of closed-ended license exception for the four respective TDM dimensions of subject,purpose,object,and behavior.

关 键 词：TDM 合理使用 例外规范 复制行为 利益平衡 

分 类 号：D923.41[政治法律—民商法学]