文章摘要
黄葆春.基于投融资和专利融合的投资方向发现模型[J].情报工程,2022,8(2):109-118
基于投融资和专利融合的投资方向发现模型
Research of Analysis and Mining Method Based on Integration of Investment Data and Patents
  
DOI:10.3772/j.issn.2095-915X.2022.02.009
中文关键词: 投融资数据;专利数据;文本挖掘;知识发现
英文关键词: Investment data; patents data; text mining; knowledge discovery
基金项目:国家重点研发计划“知识产权数据智能分析技术及知识产权服务评价、模式标准体系建设”(2017YFB1401905)。
作者单位
黄葆春 国家知识产权局专利局自动化部 北京 100088 
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中文摘要:
      [ 目的 / 意义 ] 针对通过对新兴技术领域专利数据以及投融资数据的分析从而发现优先投资领域这一需求,构建了以融资企业为基础融合专利的数据整合策略,以及相应的数据分析,入库体系。[ 方法 / 过程 ] 本文详细阐述了面向投融资数据和专利数据整合加工理论及方法,包括采取以融资企业为基础的数据抽取方法,以投资赛道聚合为目标对抽取数据进行清理和加工,最终形成投融资和专利整合的数据库过程。[ 结果 / 结论 ] 该方法能对投融资和专利两种异构化数据进行有效整合,从而为投融资领域寻找提供决策支持。
英文摘要:
      [Objective/Significance] In order to find new technology investment opportunities through the analysis of patent data and investment and financing data, a data integration strategy based on financing enterprises, and related data analysis and storage system are constructed. [Methods/Processes] This paper describes the theories and methods for the integration and processing of investment and financing data and patent data, including data extraction and cleaning and processing procedures based on financing enterprises and inverstment tracks. [Results/Conclusions] This method can effectively integrate the heterogeneous data of investment and financing and patents, so as to provide decision support for the search in the new opportunity of investment.
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