融合本体和上下文知识的企业竞争情报分析算法研究

A Study of Analytical Algorithm of Enterprise Competitive Intelligence on the Basis of Mixture of Ontology with Context Knowledge

文章将本体和上下文知识融入企业竞争情报分析之中,设计了一种基于语义决策树的归纳学习算法进行语义层面的情报分析和情报知识发现。该算法利用本体解决情报语义问题,利用上下文知识解决应用环境和具体对象问题。实验结果表明,该算法取得了很好的预期效果,显著提高了情报挖掘的智能性和情报分析的准确性,在一定程度上实现了企业竞争情报语义挖掘和情报知识自动分析与获取。

This paper integrates ontology and context knowledge into the competitive intelligence analysis for enterprise, designs an inductive learning algorithm based on semantic decision tree to analysis competitive intelligence and discovery intelligence knowledge. The proposed algorithm uses o＇ntology to solve the problem arose by intelligence semantic and context knowledge to the problem about application environment and object. Experiment results demonstrate that the model and algorithm achieve a good desired effect, dramatically improve the intelligent of intelligence mining and the accuracy of intelligence analysis, and implement competitive intelligence semantic mining and the automatic analysis and acquisition of intelligence knowledge to some extent.