Digital Government: A Language Modeling Approach to Metadata for Cross-Database Linkage and Search

数字政府：用于跨数据库链接和搜索的元数据语言建模方法

• 批准号: 9983215
• 负责人: W. Bruce Croft
• 金额: $ 45.56万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-15 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9983215&HistoricalAwards=false
• 关键词: Digital; Government; Language; Modeling; Approach

EIA-9983215Croft, W. BruceUniversity of Massachusetts AhmerstDigital Government: A Language Modeling Approach to Metadata for Cross-Databse Linkage and SearchA crucial problem in government on-line services is that related information is often maintained in different systems across different agencies, thus making it difficult to integrate that information. Most attempts at "one-stop shopping" sites in the government fail for that reason; they must be maintained manually which does not work over time. On the other hand, data warehousing, where the data is cleaned, made conformant and housed in a central location, will not work due to the distributed nature of government-held information.One promising avenue to approach this problem would be through the use of automated systems which generate metadata (data about data) for various datasets, allowing them to be integrated more easily, while the original data remains in place at its home site. The work of this proposal will address this problem in a new way - language modeling. The government collaborators are the US Geological Survey, the US Department of Commerce, the General Services Administration and the US Library of Congress.

EIA-9983215Croft，W.马萨诸塞州的BruceUniversity Ahmerst数字政府：跨数据库链接和搜索的元数据语言建模方法政府在线服务中的一个关键问题是，相关信息通常在不同机构的不同系统中维护，因此很难集成这些信息。 大多数尝试在政府的"一站式购物"网站失败的原因;他们必须手动维护不工作随着时间的推移。 另一方面，由于政府所持有的资料属分散性质，因此，将资料加以清理、使其符合标准并存放于中央地点的资料储存办法将无法运作。解决这个问题的一个有希望的办法是利用自动化系统产生元数据（关于数据的数据），使它们更容易集成，而原始数据仍保留在其主站点。 这项提案的工作将以一种新的方式解决这个问题-语言建模。 政府合作者是美国地质调查局、美国商务部、总务管理局和美国国会图书馆。