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

这一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)和数字参考咨询部分的合并。通过组合这些功能，用户可以找到问题的答案，无论这些答案来自NSDL集合中的文档还是来自NSDL的虚拟参考服务台可访问的专家。该项目正在使用具有人类判断的问题/答案对的大型数字参考数据集来创建问题的本体。这些本体补充了自动问题分类技术，以创建增强的NSDLIR系统。该项目还在开发创建归纳专家简介的方法，以使增强的信息检索系统能够快速有效地处理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.