基于机器学习的图书智能采编模式的构建

Establishment of machine learning-based intelligent acquisition and cataloging mode of books in library

针对目前图书馆编目外包中存在的质量与效率的困境,提出了在编目部分外包的基础上利用机器学习对新进书目进行批量智能采访、套录、分类和标引,最后由本馆编目人员进行数据审验和实物验收,构建图书智能采编模式。它既能发挥编目人员的专业和经验优势,保障编目质量,又能通过智能的自动处理提高工作效率。

The intelligent batch acquisition,description,classification and indexing mode of newly purchased books by machine learning on the basis of cataloging outsourcing was put forward in order to improve the quality and efficiency of cataloging outsourcing in library,The purchased,described and classified books were then examined and verified by the cataloguers.The mode can not only bring into full play of the professional and experience advantages of cataloguers,but also assure the cataloging quality and improve the cataloging efficiency.