Integrating Bibliographical Data of Computer Science Publications from Online Digital Libraries

In this paper we proposed and developed a system to integrate the bibliographical data of publications in the computer science domain from various online sources into a unified database based on the focused crawling approach. In order to build this system, there are two phases to carry on. The first phase deals with importing bibliographic data from DBLP (Digital Bibliography and Library Project) into our database. The second phase the system will automatically crawl new publications from online digital libraries such as Microsoft Academic Search, ACM, IEEEXplore, CiteSeer and extract bibliographical information (one kind of publication metadata) to update, enrich the existing database, which have been built at the first phase. This system serves effectively in services relating to academic activities such as searching literatures, ranking publications, ranking experts, ranking conferences or journals, reviewing articles, identifying the research trends, mining the linking of articles, stating of the art for a specified research domain, and other related works base on these bibliographical data.