Study on Association Analysis of CSSCI Academic Resource Based on Ontology
This paper tries to change the traditional analysis mode that using association rule mining to gain the subject relationship based on single standard, and introducing the ontology mechanism with semantic description capabilities into the knowledge organization of CSSCI academic resource for organizing all kinds of academic concepts by objectoriented approach, so that to establishes CSSCI Academic Resource Networks Model based on Ontology. On this basis, resource evaluation method will be used to analyze relations between similar resources annotated in CSSCI_Onto, and knowledge mining technique will also be adopted to discover the multiple association patterns of academic resources that user interested in and implied in original knowledge, so that to get all kinds of analysis conclusions and scientific laws which have academic value and could generate academic influence for supporting decision.
Association Analysis Multi-dimension analysis ontology duster analysis models
WANGHao SU Xinning YANG Jianlin
Information management department,Nanjing University,Nanjing 210093, China
国际会议
武汉
英文
55-59
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）