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中文摘要：
本文将聚类分析引入竞争情报分析之中,构建了基于领域本体的竞争情报聚类分析模型。该模型利用竞争情报领域本体指导文本语义分析和标注,抽取特征概念和概念间关系,实现语义层面的文本表示;针对传统的聚类分析算法无法进行深层次的聚类分析,设计了一种基于语义核函数的聚类分析算法进行挖掘分析,实现深层次的聚类分析。实验结果表明,该模型取得了很好的预期效果,显著提高了竞争情报分析的准确率和效率。
英文摘要：
This paper constructed a competitive intelligence clustering analysis model by introducing clustering analysis into the analysis of competitive intelligence.This model adopts competitive intelligence domain ontology to guide semantic analysis and label and extract relationships between feature concept and concept,realizing senmantic-level text representation.It also designs a clustering analysis algorithm based on semantic kernel function for mining analysis according to the fact that the traditional clustering algorithm can not achieve deep clustering,accomplishing clustering analysis at deep level.The experiment result shows that this model gets a good expectant performance and dramatically increases the accuracy and efficiency of intelligence analysis.
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