SGER: Accelerated Indexing in a Domain-Specific Digital Library

决策者，如负责管理我们国家森林的自然资源经理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，他们需要访问并受益于关于类似问题、决策和情况的最新信息。此探索性项目专注于提供对特定领域设置中的文档的快速访问。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，而领域专业知识较少的用户可能不熟悉这些术语。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帮助索引特定于领域的文档。鉴于信息检索的一般困难，该项目风险很高，但可能会成功，因为工作发生在特定领域的环境中，术语开发得很好。这一建议的智力优点源于使用了一种新的叙词表模型--元数据++，该模型具有基于路径的术语含义表示法，以帮助进行索引。该项目的广泛影响来自于帮助决策者查找信息这一无处不在的问题，以及与美国林业局、非营利组织自然保护协会和丹麦皇家图书馆和情报科学学院的广泛合作。

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.