NSDL: Social Bookmarking for Digital Libraries: Improving Resource Sharing and Discoverability

NSDL：数字图书馆的社交书签：改善资源共享和可发现性

• 批准号: 1044224
• 负责人: Darina Dicheva
• 金额: $ 15万
• 依托单位: Winston-Salem State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1044224&HistoricalAwards=false
• 关键词: NSDL; Social; Bookmarking; Digital; Libraries

The objective of this project is to develop a model and implement a service for extending the existing NSDL infrastructure with social bookmarking capabilities that promote efficient discovery, search, and exploration of the resources in the library and associated Open Educational Resources (OER) repositories.The PIs observe that most digital libraries do not maintain and disseminate information in the way users now expect it. Consequently, they focus on three fundamental problems in conventional digital libraries: (a) users expect to interact with the digital content and to use social paradigms in accessing it; (b) learning repositories are underutilized and there is need of attracting users in a more innovative way; (c) there is need for a more efficient retrieval of library content relevant to users information needs. The project extends a traditional, Fedora-based library model with folksonomy and combines it with a new find-similar method to enhance the discovery, search, and exploration of the resources in the library and the linked OER repositories. The proposed technique for finding similar persons allows users to identify other individuals with whom they share interests, as well as discovering implicit user groups. This project is expected to have impact on the digital libraries and web-based educational systems. Its goal of extending the capabilities of the search tools in repository context by leveraging social metadata may have a broad impact within the community of digital library users.

本项目的目标是开发一个模型，并实现一个服务，用于扩展现有的NSDL基础设施，使其具有社会书签功能，从而促进对图书馆和相关开放教育资源（OER）库中资源的有效发现、搜索和探索。PI观察到，大多数数字图书馆并没有以用户现在期望的方式维护和传播信息。因此，它们着重于传统数字图书馆的三个基本问题：（a）用户期望与数字内容互动，并利用社会范式来获取数字内容;（B）学习资料库利用不足，需要以更创新的方式吸引用户;（c）需要更有效地检索与用户信息需求相关的图书馆内容。该项目扩展了传统的，基于Fedora的图书馆模型与大众分类法，并将其与新的查找相似方法相结合，以增强图书馆和链接的OER存储库中资源的发现，搜索和探索。所提出的用于寻找相似的人的技术允许用户识别与他们共享兴趣的其他个人，以及发现隐式用户组。预计该项目将对数字图书馆和基于网络的教育系统产生影响。它的目标是通过利用社会元数据来扩展存储库环境中搜索工具的功能，这可能会在数字图书馆用户社区中产生广泛的影响。