Automatic Reference Librarians for the World Wide Web

万维网自动参考图书馆员

• 批准号: 9874759
• 负责人: Oren Etzioni
• 金额: $ 59.81万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-01-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9874759&HistoricalAwards=false
• 关键词: Automatic; Reference; Librarians; World; Wide

By all accounts, the Web is humanity's largest and fastest growing repository of digital information. Many collections of information are Internet-accessible, and most will provide a searchable Web interface. While some collections have a broad array of materials, trends show an explosion in the number of specializedcollections with narrow but very deep content. Thus a principle challenge facing users will be the selection of Web information sources capable of answering their query. In a physical library, users rely on a reference librarian to help point them at the correct resource, but while human librarians are becoming increasinglysophisticated in their use of the Web, they are only part of the solution. We need more powerful automatic reference tools to help people efficiently retrieve high quality information from the Web. Typically, reference librarians are not specialists in the topic of inquiry (e.g., computational fluid dynamics) but they are expert at identifying relevant resources (e.g., The International Journal of Fluid Dynamics) and at appropriate strategies for obtaining the necessary information. The central objective of this proposal is to create software agents that posses reference intelligence --- a limited understanding of complex technical topics, but a very sophisticated understanding of how and where to find high-quality information on the World Wide Web.

众所周知，网络是人类最大，增长最快的数字信息存储库。 许多信息集合都是可以访问的，大多数信息将提供可搜索的Web界面。尽管某些收藏品的材料有广泛的材料，但趋势显示出狭窄但非常深刻的专业票据数量的爆炸。因此，用户面临的主要挑战是选择能够回答其查询的Web信息源。在物理库中，用户依靠参考图书馆员来帮助他们指向正确的资源，但是当人类图书馆员在使用网络时越来越善于熟悉，但他们只是解决方案的一部分。 我们需要更强大的自动参考工具，以帮助人们从网络中有效检索高质量的信息。通常，参考图书馆员不是探究主题（例如计算流体动力学）的专家，但他们是识别相关资源（例如国际流体动力学杂志）的专家，也是获得必要信息的适当策略。 该提案的核心目的是创建具有参考智能的软件代理 - 对复杂技术主题的有限理解，但对如何以及在何处找到在万维网上找到高质量信息的非常复杂的理解。