SGER: A Digital Library Archive for Computer Scientists

SGER：计算机科学家的数字图书馆档案

• 批准号: 0330783
• 负责人: C. Lee Giles
• 金额: $ 9.91万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-05-01 至 2005-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0330783&HistoricalAwards=false
• 关键词: SGER; Digital; Library; Archive; Computer

CiteSeer, a computer science document search engine and digital library, has become over the last three years the search engine of choice for exploring and accessing computer science documents for computer scientists and related disciplines. Not only can the searcher find actual documents but also many other related linked aspects of document information such as citations, relevance of citations, active bibliography and co-citations. CiteSeer is so popular with the computer science community that it gets over 100,000 hits and thousands of document downloads a day. CiteSeer currently has over 500,000 documents with over 10 million citations. The goal of this research is to explore methods for making CiteSeer a permanent research fixture for the computer science community. Archiving and URL permanence methods, plus methods for enhanced archive mirroring and archive scaling will be investigated. Availability of CiteSeer resources is promoted through exploratory APIs (application programming interfaces) for researcher data access. In addition, new linked information such as organizations and individuals in acknowledgements will be correlated with citation rankings. Exploratory research investigating new document crawling algorithms and procedures further boost the efficiency and functionality of CiteSeer. This project will have broad impact by providing computer scientists enhanced access to the computer science literature and promoting the participation of the researchers in building the CiteSeer by new additions to the document database.

CiteSeer是一个计算机科学文档搜索引擎和数字图书馆，在过去的三年里已经成为计算机科学家和相关学科探索和访问计算机科学文档的首选搜索引擎。它不仅可以查找实际文献，还可以查找文献信息的其他相关方面，如引文、引文的相关性、活动书目和共同引文。CiteSeer在计算机科学社区中非常受欢迎，每天有超过10万次点击和数千次文档下载。CiteSeer目前拥有超过50万份文件，引用次数超过1000万次。本研究的目标是探索使CiteSeer成为计算机科学界永久研究设备的方法。将研究URL和URL持久性方法，以及增强存档镜像和存档缩放的方法。CiteSeer资源的可用性通过探索性API（应用程序编程接口）促进研究人员数据访问。此外，新的链接信息，如引文中的组织和个人，将与引文排名相关联。探索性研究调查新的文档爬行算法和程序进一步提高CiteSeer的效率和功能。该项目将产生广泛的影响，为计算机科学家提供更多的计算机科学文献，并通过增加文件数据库来促进研究人员参与CiteSeer的建设。