After the broad popular of Internet technology,the information of Internet does geometric-progressively increase.How to search advantage information to meet users＇ demands in the internet information torrent of Internet has become the first goal of lots of scholars to make efforts on.For that reason,this paper focused on developing an ontology-supported information integration and recommending system for scholars.Not only can it fast integrate specific domain documents,but also it can extract important information from them through the hybrid filtering technology to take information integration and recommendation ranking.Experimental verification for this system performance on the entire page of information retrieval and integration is possible to collect up to a higher level of application.