摘要
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.
出处
《情报资料工作》
CSSCI
北大核心
2012年第2期48-52,共5页
Information and Documentation Services
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”(批准号:71073121)
教育部人文社会科学重点研究基地重大项目“基于智能信息处理的知识挖掘技术及其应用研究”(批准号:08JJD870225)的研究成果
关键词
竞争情报分析
本体
上下文知识
competitive intelligence analysis, ontology, context knowledge
