EAGER: RI: Collecting and Filtering Online Information in Science

EAGER：RI：收集和过滤科学在线信息

• 批准号: 1239062
• 负责人: Bruce Buchanan
• 金额: $ 2.2万
• 依托单位: Association for the Advancement of Artificial Intelligence
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-05-01 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1239062&HistoricalAwards=false
• 关键词: EAGER; RI; Collecting; Filtering; Online

This proposal focuses on developing methods to automate the time-consuming process of selecting good overview and review articles from on-line new sources. The goal is to select articles understandable by persons outside the field and use them on the AITopics information portal maintained by the AAAI. The AITopics website is a widely used authoritative source about Artificial Intelligence that is used by a wide variety of people seeking information about AI: novices, students, the press, etc. AITopics is intended to provide explanatory, accessible material about multiple subtopics that make up the field of AI. This project will develop new methods for this finding/filtering such articles and build on methods already used by AITopics. The resulting software will be open-source and is intended in the long run to be applicable to other scientific discipline beyond AI, particularly by their professional societies.The project will pursue two thrusts to generalize the current NewsFinder program, which was developed as a part of AITopics and currently finds many types of news stories about AI. The first thrust of this project is to enable it to find overview and review articles automatically. The second thrust is to enable the program to learn from data collected from readers and administrators.

这项提议的重点是开发方法，使从在线新来源中选择好的概述和审查文章的耗时过程自动化。目标是选择外地人员可以理解的文章，并在AAAI维护的AITopics信息门户上使用这些文章。AITopics网站是一个广泛使用的关于人工智能的权威来源，供各种寻求有关人工智能信息的人使用：新手、学生、媒体等。AITopics旨在提供关于组成人工智能领域的多个子主题的解释性、可访问的材料。该项目将开发新的方法来查找/过滤这类文章，并建立在AITopics已经使用的方法的基础上。由此产生的软件将是开源的，从长远来看，旨在应用于人工智能以外的其他科学学科，特别是他们的专业社会。该项目将通过两项努力来推广当前的NewsFinder计划，该计划是作为AITopics的一部分开发的，目前发现了许多类型的关于人工智能的新闻故事。这个项目的第一个推力是使它能够自动查找概述和评论文章。第二个推动力是使该计划能够从从读者和管理员那里收集的数据中学习。