大数据时代文本挖掘的版权例外  

Copyright Exception for Text Mining in the Big Data Era

作　　者：李钢[1] 

机构地区：[1]山东科技大学文法学院

出　　处：《图书馆工作与研究》2016年第3期28-31,46,共5页Library Work and Study

基　　金：国家社会科学基金项目"基于公共安全视角的工程风险认知与治理机制研究"(项目编号:14BZX026)研究成果之一

摘　　要：大数据时代的文本挖掘技术具有极强的应用价值与极高的商业价值,但其开发与应用面临着难以克服的版权困境,因而催生出三种不同模式的化解措施。《谷歌和解协议》中的"选择退出"模式意图通过授权机制的变革降低交易成本,英国立法所采用的"有条件例外"模式体现了增进公共福利的政策取向,而美国判例所确立的"无条件例外"模式则契合了大数据产业发展战略的需要。基于大数据发展战略的需要,我国《著作权法》修订时应综合运用版权客体排除规则与合理使用规则构建我国文本挖掘的版权例外规则。In the big data era,the technology of text mining has strong application value and high commercial value,its development and application are facing insurmountable copyright predicament,and three different models are used to resolve the difficulties.The ＂opt-out＂ model can reduce transaction costs through reforming authorization mechanism.In UK Copyright Act,the ＂conditional exception＂ model is made to promote the public welfare.And ＂unconditional exception＂ model established by American jurisprudence fits the big data industry development strategy needs.The revision of copyright law of China should construct our own copyright exception rule for data mining in order to meet the need of the development of big data strategy,the rule should combine the copyright object exclusionary and the reasonable use.

关 键 词：文本挖掘 非表达性使用 版权例外 大数据战略 

分 类 号：D923.41[政治法律—民商法学]