北京邮电大学学报(社会科学版) ›› 2021, Vol. 23 ›› Issue (4): 78-87.doi: 10.19722/j.cnki.1008-7729.2021.0078

• 互联网治理与法律 • 上一篇    下一篇

文本与数据挖掘行为的著作权法分析

李国英(1966—),女,江西抚州人,博士,副教授   

  1. 南京理工大学 知识产权学院,江苏 南京210094
  • 收稿日期:2021-04-16 出版日期:2021-08-30 发布日期:2021-09-07
  • 通讯作者: 李国英(1966—),女,江西抚州人,博士,副教授
  • 作者简介:李国英(1966—),女,江西抚州人,博士,副教授
  • 基金资助:
    2020年江苏省研究生科研与实践创新计划(SJCX20_0079)

Copyright law analysis of text and data mining

  1. School of Intellectual Property, Nanjing University of Science  and Technology, Nanjing 210094, China
  • Received:2021-04-16 Online:2021-08-30 Published:2021-09-07

摘要:  文本与数据挖掘技术应用需要海量作品输入作为分析数据库,输出作品也可能与多部在先作品构成实质性相似,其对作品复制与使用的著作权侵权原罪不必然被合理使用所豁免。以输入、输出二分法对文本与数据挖掘行为进行著作权法分析,是解开其作品使用行为本质的重要工具。基于该分析思路,文本与数据挖掘输入行为的作品获取阶段存在“市场失灵”现象,建议将其有条件地纳入合理使用范畴,以促进技术的发展与进步。输出作品在不构成“转换性使用”情况下,对其侵权判断应突破与在先作品的单独对比原则,以“整体观感法 + 抽象分离法”的组合进阶式标准判断其与输入作品的实质性相似程度。

关键词: 文本与数据挖掘, 输入与输出, 合理使用, 著作权侵权

Abstract: The application of text and data mining technology requires the input of a large number of works as an analysis database. The output works may also be substantially similar to several prior works, and the original crime of copyright infringement on the reproduction and use of works is not necessarily exempt from fair use. Using the input/output dichotomy to analyze text and data mining is an important tool to unravel the nature of the use behavior of their works. Based on this analysis, there is market failure in the acquisition stage of text and data mining input behavior, and it should be conditionally included in the category of fair use to promote the development and progress of technology. In the case that the output works do not constitute “transformational use”, the judgment of its infringement should break through the principle of separate comparison with the prior works, and judge its substantial similarity with the input works by the combined advanced standard of “whole perception method+abstract separation method”.

Key words: text and data mining, input and output, fair use, copyright infringement

中图分类号: