This paper tries to change the traditional analysis mode that using association rule mining to gain the subject relationship based on single standard, and introduces the Ontology mechanism with semantic description capabilities into the knowledge organization of CSSCI academic resource for organizing subject and related concepts by object-oriented approach, so that to establishes CSSCI academic resource networks model based on Ontology. Then subject evaluation method is used to analyze the relationship between subjects annotated in CSSCI_Onto, and knowledge mining technique is also adopted to discover the multi-subject association patterns that users are interested in and implies in original knowledge, by which to obtain analysis conclusion for supporting decision, and to provide factual basis for interdisciplinary cooperation enhancement and cross-disciplinary, frontier-disciplinary emergence and development.