SGER: Accelerated Indexing in a Domain-Specific Digital Library

SGER：特定领域数字图书馆中的加速索引

• 批准号: 0514238
• 负责人: Lois Delcambre
• 金额: --
• 依托单位: Portland State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0514238&HistoricalAwards=false
• 关键词: SGER; Accelerated; Indexing; Domain; Specific

Decision makers, such as natural resource managers charged with managing our national forests or clinicians involved in patient care, need to find relevant information quickly and reliably. In the best case, they need to access and take benefit from up-to-date information on similar issues, decision, and situations. This exploratory project is focused on providing quick access to documents in a domain-specific setting.Professionals write, index, and search for documents using specialized terminology (that often includes the use of normal English words) that may be unfamiliar to users with less domain expertise. Yet both experts and non-experts need to be able to find and use the information contained in these documents. This approach will exploit the various well developed, widely used controlled vocabularies and classification schemes to assist with indexing domain-specific documents. Given the difficulty of information retrieval in general, the project is high-risk, but may succeed because the work occurs in a domain-specific setting with well-developed terminology. The intellectual merit of this proposal stems from the use of a novel thesaurus model, Metadata++, with path-based representation of term senses to assist with indexing. The broader impact of this project stems from the ubiquity of the problemof helping decision makers find information and from the extensive collaborations with the US Forest Service, the non-profit Nature Conservancy, and Denmark's Royal School of Library and Information Science.

决策者，如负责管理国家森林的自然资源管理人员或参与患者护理的临床医生，需要快速可靠地找到相关信息。在最好的情况下，他们需要获得并受益于关于类似问题、决定和情况的最新信息。这个探索性项目的重点是在特定领域的设置中提供对文档的快速访问。专业人员使用专业术语（通常包括使用普通英语单词）编写，索引和搜索文档，这些术语可能对领域专业知识较少的用户不熟悉。然而，专家和非专家都需要能够找到和使用这些文件中所载的信息。这种方法将利用各种开发良好、广泛使用的受控词汇表和分类方案来协助为特定领域的文档编制索引。鉴于信息检索的困难，该项目是高风险的，但可能会成功，因为工作发生在特定领域的设置与发达的术语。这一建议的智力价值源于使用一种新的词库模型，元数据++，与基于路径的术语意义表示，以协助索引。该项目的广泛影响源于帮助决策者寻找信息的问题的普遍存在，以及与美国林务局、非营利组织自然保护协会和丹麦皇家图书馆和信息科学学院的广泛合作。