ABSTRACT
A semantic predication network was developed by processing the documents on schizophrenia into se-mantic predication sets using SemRep, from which the core information was extracted to produce a graphic summary which was consisted of highly cohesive cliques.The automatic methods for summarizing biomedical documents were studied using the network properties combined with semantic information.The subthemes in the summary obtained by clustering were evaluated according to the clique co-node matrix and the contents of the summary were assessed according to the reference criteria.The accuracy was 0.93, the recall was 0.68, and the F-value was 0.79 for the summary, indicating that this method can effectively recognize the core information in documents and the semantic information in network graphics.
ABSTRACT
After the necessity of research on bio-entities was pointed out, the advances and status quo in research on the relation between bio-entities were analyzed with concrete ideas and project put forward for the research on bio-entities using scientometric methods according to thecitationrelation in bio-entities similar to that in litera-ture.This kind of research will promote and perfect the research on scientometric theory and practice, and open a new visual angle for the research on knowledge management .