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

这个目标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。结合这些功能，用户可以找到问题的答案，而不管这些答案是来自NSDL馆藏中的文档还是通过NSDL的虚拟参考咨询台访问的专家。该项目使用大型数字参考问题/答案对数据集和人类判断来创建问题本体。这些本体补充了自动问题分类技术，以创建增强的NSDL IR系统。该项目还在开发创建归纳专家档案的方法，以使增强的红外系统能够快速有效地处理需要人工中介的问题。

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.