| 融合本体和上下文知识的企业竞争情报分析算法研究 |
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| 引用本文： | 张玉峰,何超.融合本体和上下文知识的企业竞争情报分析算法研究[J].情报资料工作,2012(2):48-52. |
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| 作者姓名： | 张玉峰 何超 |
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| 作者单位： | 武汉大学信息资源研究中心 湖北 430072 |
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| 基金项目： | 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 |
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| 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.
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| 关 键 词： | 竞争情报分析 本体 上下文知识 |
A Study of Analytical Algorithm of Enterprise Competitive Intelligence on the Basis of Mixture of Ontology with Context Knowledge |
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| Zhang Yufeng
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He Chao.A Study of Analytical Algorithm of Enterprise Competitive Intelligence on the Basis of Mixture of Ontology with Context Knowledge[J].Information and Documentation Services,2012(2):48-52. |
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| Authors: | Zhang Yufeng He Chao |
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| Institution: | (Center for Studies of Information Resources of Wuhan University,Hubei,430072) |
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| Abstract: | 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 ontology 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. |
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| Keywords: | competitive intelligence analysis ontology context knowledge |
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