SAPHIRE--A CONCEPT-BASED APPROACH TO INFO RETRIEVAL

该项目的主要目标是开发和评估创新 生物医学领域的信息检索(IR)方法。 以首席调查员(PI)所做的初步工作为基础 与蓝宝石项目合作，并利用 统一医学语言系统(UMLS)项目，我们的目标是设计和 测试自动索引和检索的新方法。潜在的 关于信息检索的蓝宝石方法是信息运动的论点 从术语层面到概念层面的表征。条款，如 作为网格条目，是底层的曲面字符串表示 概念。使用它们来表示概念的一个问题是 它们不能解释一个概念可能的不同表达方式 医学文本或信息系统查询。蓝宝石是第一步 基于概念的信息检索的方向，我们计划研究几个 对此方法的增强。主要目标将在六个方面实现 独立但相互关联的任务： 1.开发在实验室和实验室评估红外系统的方法 临床环境。 2.评估计算语言学方法对概念的效用 使用受限自然语言处理的文本中的发现 知识库建设。 3.完善各种文本的自动索引策略 材料，包括摘要、文章全文、教科书和 超文本。 4.探索不同的用户界面，旨在实现最佳检索 无论是新手用户还是专家用户。 5.评估在索引中使用概念之间的语义关系 和取回。 6.将蓝宝石方法与食典等其他方案结合起来 系统和资源管理器-2，并向上扩展到大型文本集合。 在该项目的过程中，我们将创建一个IR系统，这将有助于 满足忙碌的医疗保健提供者的信息需求。这样的系统 应该有各种各样的内容可用，以及质量 对内容进行索引以准确表示内容。它还应该以 快速、易用的检索能力。在这笔赠款中，我们 提出迭代构建基于概念的信息检索系统 概率索引和检索，并对每一步进行评估 无论是在实验室还是在现实世界环境中都是如此。

The major goal of this project is to develop and evaluate innovative approaches to information retrieval (IR) in the biomedical domain. Building on the initial work done by the Principal Investigator (PI) with the SAPHIRE Project and taking advantage of the efforts of the Unified Medical Language Systems (UMLS) Project, we aim to design and test new methods for automated indexing and retrieval. The underlying thesis of the SAPHIRE approach to IR is movement of information representation from the level of terms to that of concepts. Terms, such as MeSH entries, are surface string representations of underlying concepts. A problem with their use in representing concepts is that they cannot account for the different ways a concept may be expressed in medical texts or information system queries. SAPHIRE is a first step in the direction of concept-based IR, and we plan to investigate several enhancements to this approach. The major goal will be achieved with six separate but interrelated tasks: 1. Develop methodology for evaluation of IR systems in laboratory and clinical settings. 2. Assess the utility of computational linguistic approaches to concept discovery in text using constrained natural language processing and knowledge base construction. 3. Refine strategies for automated indexing of a wide variety of textual material, including abstracts, full text of articles, textbooks, and hypertext. 4. Explore different user interfaces, aiming to allow optimal retrieval for both novice and expert users. 5. Assess the use of semantic relationships between concepts in indexing and retrieval. 6. Integrate the SAPHIRE approach with other programs, such as the CODEX system and Explorer-2, and scale up to large text collections. In the course of the project we will create an IR system that will help meet the information needs of busy health care providers. Such a system should have a diverse variety of content available as well as quality indexing to represent content accurately. It should also feature retrieval capability that is fast and easy to use. In this grant, we propose to iteratively build an IR system that utilizes concept-based probabilistic indexing and retrieval, and evaluate it each step along the way in laboratory as well as real world settings.