Classification, Analysis and Navigation Tools for Physics Research Communication

研究将进行旨在提高电子预印本档案，超过250，000全文文章的基于网络的，交互式的存储库的可用性和相关学科的大量使用这些社区，并越来越多地作为一个模型，这样的系统和图书馆在美国和国外的科学和工程的其他领域。 为此，将使用文档内容数据、引用树数据和使用数据来探索档案的结构。 将开发自动文本分类和文档聚类技术，用于清理、构建和维护主题分类结构。 使用数据日志将用于挖掘存档的功能改进。 对文件标题中的单词进行突发分析将用于绘制趋势图，并与引用数据一起可视化和导航文献。 这项工作将为开放存取系统的持续发展提供新的工具，该系统已开始在包括医学在内的许多领域用作研究图书馆。

Research will be carried out aimed at improving usability of the Electronic Preprint Archive, a web-based, interactive repository of over 250,000 full text articles in physics and related disciplines used heavily by these communities, and, increasingly, serving as a model for such systems and libraries in other fields of science and engineering in the U.S. and abroad. For this purpose, the structure of the archive will be explored using document content data, citation tree data, and usage data. Automatic text classification and document clustering techniques will be developed and used for cleaning, building, and maintaining the subject classification structure. Usage data logs will be used to mine for functional improvements to the Archive. Burst analysis of words in document titles will be used to map trends and, together with citation data, to visualize and navigate the literature. This work will provide new tools useful for continued development of open access systems starting to be used as research libraries in a number of fields, including medicine.