摘要
专利关联性有助于识别潜在的技术竞争与合作对象,总体上把握产业的竞争态势。首先介绍了用于产业竞争态势判别的专利关联性分析方法,包括产业技术结构分析、技术相似性分析、专利权人合作网络分析;然后设计了产业竞争格局分析体系构架,通过该体系构架可以进行严格和系统的专利关联分析,探索专利数据中隐含的产业内各企业的竞争与合作关系,揭示出产业内的竞争态势与格局;最后以LTE领域为例,说明了该方法的应用过程。
Patent association helps to identify potential competitors and collaborators and discribe the overall competition situation of a spe-cific industry. Firstly, patent pssociation analysis methods for industry competition are introduced in the thesis, including industry structure analysis, technological similarity analysis and patent collaborator network analysis. Then an industry competition pattern analysis system is designed, which allows a rigorous and systematic way of studying patent association thus helps to explore the relationship of competition and collaboration among enterprises within an industry hidden in patent data. The result can help to reveal the competition trend and pat-terns within an industry. Finally, the application process of the method is verified by an example in LTE field.
出处
《情报杂志》
CSSCI
北大核心
2014年第8期48-51,91,共5页
Journal of Intelligence
基金
国家社会科学基金项目"基于大数据的产业竞争态势动态预警机制研究"(编号:13CTQ033)
国家社会科学基金项目"数字图书馆知识社区构建与服务研究"(编号:11CTQ006)成果之一
关键词
竞争态势分析
专利情报
专利关联性
产业竞争情报
competition analysis patent intelligence patent association industry competitive intelligence
