Abstract：The paper tries to change the traditional analysis mode of academic resources evaluation, and puts forward the “knowledge-driven” analysis idea which establishes a complete knowledge base firstly, then obtains conclusions on the basis of this knowledge base. For this, the paper adopts the Ontology mechanism to achieve the knowledge organization for CSSCI academic resources, which describes the periodicals and related knowledge by object-oriented approach, so that to establish CSSCI Academic Resource Networks Model (CSSCI_Onto). On this basis of academic knowledge annotated in the Ontology, not only the relationship and association degree between periodicals can be learned comprehensively, but also the bidirectional and multiple association patterns that are implied in original knowledge can be mined, and further the set of core periodicals in the disciplinary during certain period of time can be discovered, which provides factual basis for cooperation and division between periodicals, so that to promote a reasonable distribution of research content of periodicals. The paper focuses on the construction and analysis for relationship of periodicals, which is a part of academic resources association analysis based on CSSCI_Onto.
邓三鸿, 王昊, 苏新宁. 基于CSSCI本体的学术期刊关联分析[J]. 现代图书情报技术, 2011, 27(3): 30-37.
Deng Sanhong, Wang Hao, Su Xinning. Association Analysis of Academic Periodicals Based on CSSCI_Onto. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2011.03.05.