Study on Hotspots Trend Analysis of Humanities and Social Sciences Based on CSSCI Academic Resource Ontology

Due to the existing linear mode of information organization in CSSCI seriously limits semantic expression of the potential relationship among the academic resources, and implicit knowledge mining and three-dimensional solid academic evaluation services are also hardly enable to be implemented. The ontology mechanism which could provide semantic support introduced and widely applied in field of knowledge organization provides an opportunity for improvement of CSSCI services quality. This paper tries to discuss method and process of research hotspots trend analysis of humanities and social sciences by means of knowledge in CSSCI academic resource ontology, with hierarchical clustering as analysis mean, and on the basis of hotspots detection, from both scholar and disciplinary point of view. In the analysis, Prof. Qiu Jun-Ping and the discipline of library, information and archives are taken for examples, to discuss the development and change in 2000-2006 of their research hotspots, and scientifically predicts their trends in future.