III-COR: iOPENER - A Flexible Framework to Support Rapid Learning in Unfamiliar Research Domains

在当今迅速发展的学科中，科学家和学者不断面临着跟上其领域知识的艰巨任务。此外，现实世界任务的相互关联性越来越强，往往需要一个学科的专家在短时间内快速了解其他领域。跨学科研究需要语言学、生物学和社会学等领域的科学家学习计算方法和应用。学生和教育工作者都必须能够获得对以前工作的准确调查，从简短的摘要到深入的历史笔记。 政府决策者必须了解不同的科学领域，以确定资助的优先事项。iOPENER（研究博览会信息组织）的目标是针对不同的受众和层次，生成不同科学领域和主题的易于消费的调查，例如，专家、相关学科的科学家、教育工作者、学生、政府决策者和公民，包括少数群体和代表性不足的群体。被调查的材料以不同的方式呈现，例如，文章的枚举列表、关键事实的项目符号列表、文本摘要或具有缩放和过滤功能的视觉呈现。这项研究的最初贡献是建立了一个基础设施，通过连接三种可用的技术来自动总结整个科学领域的工作：（1）文献计量词汇链接挖掘;（2）摘要技术;（3）显示结构和内容的可视化工具。iOPENER软件和由此产生的调查将通过项目网站公开提供（http：//tangra.si.umich.edu/clair/iopener/），研究成果将在ACL、SIGIR和ASIST等会议上展示，并面向更广泛的受众，例如，专家、学生、教育工作者和政府决策者。 应用领域包括数字政府、应急响应和公共卫生问题。

In today's rapidly expanding disciplines, scientists and scholars are constantly faced with the daunting task of keeping up with knowledge in their field. In addition, the increasingly interconnected nature of real-world tasks often requires experts in one discipline to rapidly learn about other areas in a short amount of time. Cross-disciplinary research requires scientists in such areas as linguistics, biology, and sociology to learn about computational approaches and applications. Both students and educators must have access to accurate surveys of previous work, ranging from short summaries to in-depth historical notes. Government decision-makers must learn about different scientific fields to determine funding priorities.The goal of iOPENER (Information Organization for PENning Expositions on Research) is to generate readily-consumable surveys of different scientific domains and topics, targeted to different audiences and levels, e.g., expert specialists, scientists from related disciplines, educators, students, government decision makers, and citizens including minorities and underrepresented groups. Surveyed material is presented in different modalities, e.g., an enumerated list of articles, a bulleted list of key facts, a textual summary, or a visual presentation with zoom and filter capabilities. The original contributions of this research are in the creation of an infrastructure for automatically summarizing entire areas of scientific endeavor by linking three available technologies: (1) bibliometric lexical link mining; (2) summarization techniques; and (3) visualization tools for displaying both structure and content.The iOPENER software and resulting surveys will be made publicly available via the project Web site (http://tangra.si.umich.edu/clair/iopener/) and research results will be presented at conferences such as the ACL, SIGIR, and ASIST, as well as to broader audiences, e.g., expert specialists, students, educators, and government decision makers. Application areas include digital government, emergency response, and public health issues.