摘要
将聚类分析融入企业竞争力影响因素挖掘与发现之中,依据本课题组构建的软件企业领域本体,提出基于语义的综合层次聚类分析方法。该方法融合本体与聚类技术创新基于领域本体的聚类分析算法Onto-kmeans,实现语义层面的企业竞争力影响因素分析与获取。实验结果表明,该方法能够显著提高聚类分析的准确率和效率,有效地挖掘与获取影响企业竞争力的全局因素,识别与验证影响企业竞争力的主要因素。
This paper integrates clustering into the exploration and discovery of enterprise competitiveness factors, then proposes a semantic -based comprehensive hierarchical clustering analysis method according to the software enterprise domain Ontology constructed by the research team. This method fuses Ontology and clustering technologies, brings forth new ideas for the clustering analysis method based on domain Ontology, that is Onto - kmeans, and achieves the analysis and acquisition of enterprise competitiveness factors at semantic level. The experimental results indicate that this method can significantly improve the accuracy and efficiency of clustering analysis, effectively mine and obtain global factors influ- encing the competitiveness of software enterprise, identify and verify the major factors.
出处
《现代图书情报技术》
CSSCI
北大核心
2012年第9期49-55,共7页
New Technology of Library and Information Service
基金
国家自然科学基金项目"企业竞争情报智能分析模型与方法研究"(项目编号:71073121)
教育部博士研究生学术新人奖"基于数据挖掘的商务情报分析方法研究"的研究成果之一
关键词
语义聚类
因素分析
企业竞争力
Semantic clustering Factor analysis Enterprise competitiveness
