E- Scholar: Improving academic search through combining metasearch with entity extraction
Juan Zhao, Kejun Dong, Le Yang, Kai Nan, Baoping Yan · 2009 IEEE Youth Conference on Information, Computing and Telecommunication · 2009
Internet has become the essential platform for access, processing and dissemination of scientific data and literature. To greatly enhance academic search, a novel academic metasearch engine called e-Scholar is presented in this paper, which is combined with entity extraction techniques to link the relevant data in scientific databases with the literature. We demonstrate a scalable architecture implementing the functions with little overhead. We also present our innovational approach to linking techniques. We demonstrate the features and significant system performance improvements by comparing e-Scholar with other academic search engines.