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PECASE: Providing a Coherent View of Diverse Distributed Information Resources

PECASE: Providing a Coherent View of Diverse Distributed Information Resources
PECASE:提供多样化分布式信息资源的一致视图
批准号:
9734191
负责人:
Gregory Leazer
金额:
$57.92万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-05-15 至 2005-08-31

项目摘要

项目成果

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中文摘要
翻译
新的数字信息资源需要创建新的资源发现工具。用户必须协商大量的信息收藏,如新的数字图书馆和传统图书馆和博物馆的收藏。将资源分配到单独的域中会妨碍最佳搜索,用户必须依次搜索多个系统才能执行穷举搜索。这个问题的解决方案是提供对资源的集成控制,这样用户就可以定位信息,而不必考虑其位置。本计画的重点是使用质性的实地工作方法,探讨使用者在选择分散式资讯资源时的行为。一个原型系统,它集成了各种类型的元数据和形式的链接网络,用于确定用户如何选择资源。该项目的教育部分是开发一个广泛的跨学科计划,整合信息检索的各种理论。该课程旨在为学生提供一个技术基础和理论框架,以解决有关网络信息资源发现和检索的重大问题。该项目的结果将提供对数字和传统馆藏整合的深入了解,以及从中检索资源的最佳方式。研究结果还将提供设计不同类型的信息检索系统,包括搜索代理,寻找资源之间的分布式集合,并提出了一个综合的意见,为用户咨询。
英文摘要
New digital information resources necessitate the creation of new tools for resource discovery. Users must negotiate a large number of collections of information, such as new digital libraries and the collections of traditional libraries and museums. The distribution of resources into separate domains prevents optimal searching, and users must search multiple systems sequentially in order to perform exhaustive searches. The solution to this problem is to provide an integrated control of resources so users can locate information without regard to its location. The focus of this project is to investigate user behavior in the selection of diverse information resources from distributed collections using qualitative field work methods. A prototype system which integrates various types of metadata and forms networks of linkages is used to determine how users select resources. The educational component of this project is to develop a broad interdisciplinary program that integrates various theories in information retrieval. The curriculum is intended to provide students with a technological grounding and a theoretical framework for addressing significant problems relating to networked information resource discovery and retrieval. The results of this project will provide insight into the integration of digital and traditional collections, and the optimal retrieval of resources from them. The findings will also provide for the design of diverse types of information retrieval systems, including search agents that seek out resources among distributed collections, and present an integrated view for user consultation.
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