基于知识挖掘的产业集群网络创新模型研究  

作　　者：蔡皎洁[1] 张玉峰[2] 

机构地区：[1]湖北工程学院经济管理学院 [2]武汉大学信息管理学院

出　　处：《企业经济》2013年第10期34-38,共5页Enterprise Economy

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)

摘　　要：知识经济时代,知识成为产业集群网络创新的重要动力资源。面对日益激增、多结构化的企业数据,如何从中获取潜在的、高质量的知识模式,将决定产业集群网络创新的能力。本文从语义挖掘的角度构建了产业集群网络创新模型,重点分析了产业集群网络创新模型的理论基础,综合运用本体论、知识挖掘等智能信息处理技术对分布式、异构化数据进行语义分析与集成,在语义集成的基础上阐述了实施智能知识挖掘的过程,说明了产业集群网络系统具备智能获取数据中的概念和概念间关系的能力,论述了知识获取在构建产业集群网络创新模型中的重要性。In the era of knowledge economy, knowledge has become an important innovation resource of the industrial cluster network. Faced with the growing proliferation of multi- structured enterprise data, how to derive the potential and high- quality knowledge will determine the innovation abilities of the industry cluster network. From the perspective of semantic knowledge mining, we construct the industrial cluster network innovation model. And based on the analysis of the theory of the industrial cluster network innovation model, we use intelligent information technologies, such as ontology and knowledge mining, to semantically analyze and integrate the distributed and heterogenous data to explain the intelligent knowledge mining process based on semantic integration, discuss the abilities of the industrial cluster network to get data concepts and the relationship of concepts intelligently, promote continuous innovations of the industrial cluster network in high - quality knowledge modes, and finally describe the significance of deriving the innovation model of the industrial cluster network.

关 键 词：知识 知识挖掘 产业集群网络 创新模型 

分 类 号：F272.3[经济管理—企业管理]