Ontology-supported web crawler for information integration on call for papers

Call for papers is the most important information on research for scholars. How to easily search advantage information has become essential part in scholars or even the search-system manufacturers themselves. Therefore, the active Web page-searching techniques play an important role in the contemporary information system. In this paper, an OntoCrawlerII based on the ontology-supported technique for webpage searching was proposed, in which scholars just need to enter some keywords and the system supported by domain ontology actively would provide comparison and verification for those keywords so as to up-rise precision rate and recall rate of webpage searching. This technique has practically been installed in Google and Yahoo search engines and furthermore active searched and filtered out some unduplicated and related call for papers webpage and accordingly stored the results into a database to let the backend systems to do advanced processes. The preliminary experimental outcomes proved the technique proposed in this paper could really up-rise the precision rate and recall rate of webpage searching.