SGER: A Digital Library Archive for Computer Scientists

CiteSeer是一家计算机科学文献搜索引擎和数字图书馆，在过去三年中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献的首选搜索引擎。搜索者不仅可以找到实际的文献，而且还可以找到文献信息的许多其他相关的相关方面，如引文、引文的相关性、活动书目和共同引文。CiteSeer在计算机科学界非常受欢迎，每天的点击量超过10万次，文档下载量达到数千次。CiteSeer目前拥有50多万篇文档，被引用超过1000万次。这项研究的目标是探索使CiteSeer成为计算机科学界永久研究机构的方法。将研究归档和URL永久方法，以及增强归档镜像和归档扩展的方法。通过用于研究人员数据访问的探索性API(应用程序编程接口)来促进CiteSeer资源的可用性。此外，确认中的组织和个人等新的关联信息将与引文排名相关联。对新的文档爬行算法和程序的探索性研究进一步提高了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查阅计算机科学文献的机会，并通过在文件数据库中增加新的内容，促进研究人员参与建立CiteSeer。

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.