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非相关文献知识发现复合关联的模型与实证
引用本文:黄水清,马俊岭.非相关文献知识发现复合关联的模型与实证[J].情报理论与实践,2011,34(4).
作者姓名:黄水清  马俊岭
作者单位:南京农业大学,信息科学技术学院,江苏,南京,210095
摘    要:对Swanson非相关文献知识发现的A-B-C模式和Gordon的中介文献思想进行了分析,提出了包容性更广的复合关联模型。实证过程表明,复合关联模型不仅能够很好地复现Swanson的雷诺氏病/鱼油、偏头痛/镁经典知识发现过程,而且在中文人文社会科学文献中能够有效地发现新知识。

关 键 词:知识发现  非相关文献  复合关联  模型  

The Model and Empirical Study of Compound Correlation for Noninteractive Literature-based Knowledge Discovery
Huang Shuiqing et al..The Model and Empirical Study of Compound Correlation for Noninteractive Literature-based Knowledge Discovery[J].Information Studies:Theory & Application,2011,34(4).
Authors:Huang Shuiqing
Institution:Huang Shuiqing et al.
Abstract:After analyzing Swanson's A-B-C model of noninteractive literature-based knowledge discovery and Gordon's thought on intermediate literature,this paper proposes a more inclusive compound correlation model. The empirical study shows that the compound correlation model can not only repeat Swanson's classical knowledge discovery process of raynaud's/fish oil and migraine/magnesium well,but also discover new knowledge in literatures of Chinese humane and social studies effectively.
Keywords:knowledge discovery  noninteractive literature  compound correlation  model  
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