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作 者:崔鸿鸣 CUI Hongming(School of Law,Dalian Maritime University,Dalian 116026,China)
出 处:《情报科学》2024年第3期129-138,155,共11页Information Science
基 金:国家社科基金重大专项项目“社会主义核心价值观在民法典中的价值定位与规范配置研究”(18VHJ003)。
摘 要:【目的/意义】通过对数字图书馆著作权侵权防范的制度、理论与司法实践中的文本进行分析,明确防范著作权侵权的核心争议问题与完善路径。【方法/过程】以北大法律信息网、中国知网为数据来源,选取法律法规政策文件、权威学术论文与典型案例裁判文书作为研究样本,综合运用关键词共现、领域学术观点库、主题演化分析、条文比对分析与词嵌入分析等方法进行了关联分析。【结果/结论】通过关联分析和检验,发现有关主体均在不同程度上对数字作品的合理使用存在认识偏差,人工智能为构建具有中国特色的著作权制度体系带来了重要契机,著作权集体管理制度功能的发挥成为著作权侵权防范的关键。【创新/局限】借助领域学术观点库构建方法辅助文本分析,对文本分析方法的单独使用具有提升作用,对完善数字图书馆著作权侵权防范路径的研究具有创新价值。由于关联研究是一个复杂的任务,其结果会受到数据质量、预处理方式以及所选方法的影响。领域学术观点库构建尚须进一步的合理性与可行性验证,可能带来微小的不确定性。【Purpose/significance】By analyzing the institutions,theory and judicial practice of copyright infringement prevention in digital libraries,the core controversial issues and improvement paths to prevent copyright infringement are clarified.【Method/process】Taking chinalawinfo.com and CNKI as data sources,we selected laws and regulations,policy documents,authoritative academic pa⁃pers and typical case judgments as research samples,and comprehensively applied the methods of Keyword Co-Occurrence,Domain Academic Claim Base System,DTM analysis,Text Comparison analysis and Word2vec analysis to carry out the correlation analysis.【Result/conclusion】Through the correlation analysis and test,it is found that the subjects concerned have different degrees of cogni⁃tive bias towards the reasonable use of digital works,artificial intelligence brings an important opportunity to build a copyright system with Chinese characteristics,and the function of the copyright collective management system has become the key to the prevention of copyright infringement.【Innovation/limitation】With the help of the method of constructing a library of academic views in the field to assist text analysis,it has an upgrading effect on the separate use of text analysis methods,and has an innovative value in the study of perfecting the path of preventing copyright infringement in digital libraries.Since correlation research is a complex task,the results will be affected by the quality of data,pre-processing methods and the chosen methods.The construction of the Domain Academic Claim Base System is subject to further rationality and feasibility verification,which may bring about minor uncertainties.
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