SBIR Phase I: Knowledge Discovery based on Personal Web Content Annotation

SBIR第一阶段：基于个人Web内容标注的知识发现

• 批准号: 0810703
• 负责人: Victor Karkar
• 金额: --
• 依托单位: skribel, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0810703&HistoricalAwards=false
• 关键词: SBIR; Phase; Knowledge; Discovery; based

This Small Business Innovation Research Phase I project aims to demonstrate the feasibility of an intelligent recommendation system based on users? personal online research annotations. A combination of three key characteristics makes this system novel. First is the use personal Web page annotations (highlights, comments in notes, etc.) to understand users? information needs. Second is social recommendation based on the personal Web page annotations of related users with shared research interests. Third is the integration of recommended content directly into users? normal reading and information gathering behavior. Taken together, these qualities of the proposed system represent a significant advance in knowledge discovery. The broader impact of this project consists of a contribution to research and education by saving time, cost and frustration for institutions and individuals seeking information online for any project. While researching online, users wish to take notes to enforce their understanding of what they read. In the absence of adequate online annotation tools, they print important Web pages to annotate them by pen. Switching from the interactive, networked Web environment to the static, disconnected medium of paper presents two limitations. First is the inability to leverage this research to identify and pull related content. Second is the inaccessibility of the researched content to others with shared research interests such as professional colleagues. The proposed research leverages a powerful web annotation system under development that allows users to directly annotate Web pages and thereby eliminates the need to print. The proposed recommendation system will analyze users? annotations and suggest related Web pages, thereby saving the time, cost and frustration experienced by students, scientists, business analysts and others who aggregate online information.

这个小企业创新研究第一期项目旨在论证基于用户的智能推荐系统的可行性？个人在线研究注释。三个关键特征的结合使该系统变得新颖。首先是利用个人网页注释（亮点、注释中的评论等）来了解用户？信息需求。其次是基于具有共同研究兴趣的相关用户的个人网页注释的社会推荐。第三是推荐内容直接融入用户？正常的阅读和信息收集行为。总而言之，所提出的系统的这些品质代表了知识发现的重大进步。该项目更广泛的影响包括为研究和教育做出贡献，为机构和个人节省时间、成本和挫败感，为任何项目在线寻求信息。在在线研究时，用户希望做笔记以加强他们对所阅读内容的理解。在缺乏足够的在线注释工具的情况下，他们打印重要的网页并用笔进行注释。从交互式、联网的 Web 环境切换到静态、断开连接的纸张介质存在两个限制。首先是无法利用这项研究来识别和提取相关内容。其次，具有共同研究兴趣的其他人（例如专业同事）无法访问研究内容。拟议的研究利用了正在开发的功能强大的网络注释系统，该系统允许用户直接对网页进行注释，从而消除了打印的需要。所提出的推荐系统会分析用户吗？注释并建议相关网页，从而节省学生、科学家、业务分析师和其他汇总在线信息的人所经历的时间、成本和挫败感。