ITR: Long-Lived Information Artifacts Based on Short-Lived Administratively-Decentralized Source Material

ITR：基于短期管理分散源材料的长期信息制品

• 批准号: 0219540
• 负责人: Richard Furuta
• 金额: $ 20万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219540&HistoricalAwards=false
• 关键词: ITR; Long; Lived; Information; Artifacts

The sheer size of the World-Wide Web mandates the provision of portals, hotlists, and other catalogs that organize Web content in a domain-oriented manner. However, the quality of the information contained is subject to degradation as content changes, sites reorganize, and host connectivity fluctuates. Simply detecting that a resource has changed is easy, but determining whether that change is significant requires understanding of the context in which the resource is used. This project will improve the stability of collections of Web pages, allowing the development of predictable collections that overcome the inherent instability of the World-Wide Web. To accomplish this goal, the project will investigate the applicability of semantic descriptors provided by collection creators and implicit contextual information extracted from the collection.

万维网的庞大规模要求提供门户、热门列表和其他以面向领域的方式组织 Web 内容的目录。 然而，所包含信息的质量会随着内容变化、站点重组和主机连接波动而降低。 简单地检测资源已发生更改很容易，但确定该更改是否显着需要了解使用该资源的上下文。 该项目将提高网页集合的稳定性，允许开发可预测的集合来克服万维网固有的不稳定性。 为了实现这一目标，该项目将研究集合创建者提供的语义描述符以及从集合中提取的隐式上下文信息的适用性。