five

A brand new type of “digital dis-order” in an urban cooperative service model

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IFLA Repository2025-11-19 更新2026-05-16 收录
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https://repository.ifla.org/items/bca03c84-25f4-4e55-bdd2-9a0b14e5e194
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资源简介:
CSBNO (Consorzio-Sistema Bibliotecario Nordovest, i.e. “Northern-Western Milan Library Consortium”) is the biggest Italian Consortium and the largest organization born and developed in an urban metropolitan environment. Today the Consortium plays the role of a “Cultural Hub” for up a million citizens and also for many economical subjects, offering them several types of services of all kinds, not only in traditional areas. To best communicate to large and differentiated audiences CSBNO intends to use the Machine Learning Technology, the same born and grown up to be pervasive in digital economical environment and now universally used in the Internet related services, but in a peculiar and original way. The concept is to merge the traditional Library Science Classification tools with the new Machine Learning Technology to obtain a new powerful tool, more precise and more intelligent than the ones used in the common e-commerce platforms, because of its high level starting knowledge base, composed by DDC classes, structured Subject Headings, Standard Thesauri etc. all linked together. The goals are to achieve a new paradigms for communication to audiences, a new digital way for Library traditional services and even a new form to obtain sustainability.

CSBNO(Consorzio-Sistema Bibliotecario Nordovest,即“米兰西北图书馆联盟”)是意大利规模最大的图书馆联盟,亦是在城市都市环境中孕育并发展壮大的规模最大的社会组织。如今,该联盟已成为面向百万市民与众多经济主体的“文化枢纽(Cultural Hub)”,可为其提供涵盖传统服务领域在内的多维度、全方位服务。为实现对广泛且差异化受众的高效传播,CSBNO拟采用机器学习技术:该项技术发轫于数字经济环境并得以普及,如今已广泛应用于各类互联网相关服务,而该联盟将以独特且原创的路径加以运用。其核心构想是将传统图书馆学分类工具与新兴机器学习技术相融合,打造一款全新的强力工具。相较于普通电子商务平台所采用的同类工具,这款新工具具备更高的精准度与智能性,这得益于其高水平的初始知识库——该知识库由相互关联的十进制分类法(DDC, Dewey Decimal Classification)类目、结构化主题词表、标准叙词表等资源共同构成。该项目的目标在于构建面向受众的全新传播范式、为图书馆传统服务开辟数字化新路径,乃至探索实现可持续发展的全新模式。
提供机构:
International Federation of Library Associations and Institutions
创建时间:
2025-09-24
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