Abstract:On the basis of concept lattice theory, this article proposes a new method named Granularity Concept Analysis (GCA) based on formal concept analysis for the keywords analysis, and different granularity concept lattices are built with GCA focusing on the keywords of Ontology literatures in the open access resources. By mining of different granularity concept lattices, the analysis on high-frequency keywords and relative low-frequency keywords are executed in Ontology field, and the structure of knowledge and inherent association are discovered in Ontology field, in order to explore a new approach for literature keywords analysis.
滕广青, 毕强, 鲍玉来. 基于粒度概念分析法的文献关键词分析——以Ontology领域关键词为例[J]. 现代图书情报技术, 2011, 27(9): 1-6.
Teng Guangqing, Bi Qiang, Bao Yulai. An Analysis on Keywords of Literature Based on Granularity Concept Analysis ——A Case Study of Ontology. New Technology of Library and Information Service, 2011, 27(9): 1-6.