Question Triage for Experts and Documents: Expanding the Information Retrieval Function of the NSDL

这个有针对性的研究项目正在调查国家STEM教育数字图书馆（NSDL）的信息检索（IR）和数字参考组件的合并。将这些功能结合起来，用户就可以找到问题的答案，无论这些答案是来自NSDL收藏中的文档还是来自通过NSDL虚拟参考咨询台访问的专家。该项目正在使用大量的数字参考数据集的问题/答案对与人类的判断，以创建问题的本体。这些本体补充自动问题分类技术，以创建一个增强的NSDL IR系统。该项目还在开发创建归纳专家简介的方法，使增强的IR系统能够快速有效地路由需要人工调解的问题。

This Targeted Research project is investigating the merger of the information retrieval (IR) and digital reference components of the National STEM Education Digital Library (NSDL). Combining these functions enables users to find answers to questions regardless if those answers come from documents in NSDL collections or experts accessible through the NSDL's virtual reference desk. The project is using large digital reference data sets of question/answer pairs with human judgments to create ontologies of questions. These ontologies supplement automatic question triage techniques to create an enhanced NSDL IR system. The project is also developing methodologies for the creation of inductive expert profiles to allow the enhanced IR system to route questions needing human intermediation quickly and effectively.