摘要
基于inco Pat数据库,采集2010年—2016年京津冀地区的专利权转让信息,在数据统计分析基础上,运用分词技术对转让专利标题进行技术关键词抽取,并构建关键词共现网络。在网络结构分析基础上,通过社团划分识别京津冀区域热点需求技术,结果发现:第一,制造业类技术需求最为强烈;第二,基于技术关键词网络的6个社团,挖掘六大类热点需求技术,涉及通信类、药物类、工业制造工业类、电力类、电子元件类及检测类;第三,热点需求技术主要集中于各项生产工艺与信息技术产业。同传统的基于文献、专利申请数据挖掘技术热点相比,提出了基于专利技术交易数据的技术需求热点识别思路。研究将为关注技术市场,挖掘技术交易数据识别技术需求,引导技术研发方向,提高技术成果转化率提供决策支撑。
Based on inco Pat database, this paper collected the patent technology trading information in Beijing-Tianjin-Hebei from the year 2010 to 2016. On the basis of statistical analysis, it found out the technology keywords of transferred patent title by using word segmentation and then built the keywords co-occurrence network. Through the network structure analysis, the regional hot demand technologies of Beijing-Tianjin-Hebei were identified across the communities. Firstly, the demand for manufacturing technology was the strongest. Secondly, based on the six communities network technology keywords, it dug the six hottest demand technology involving communication, medicine,manufacturing industry, electric power, electronic components and detection class. Thirdly, hot demand technology mainly focused on production process and information technology industry. When compared with the traditional documents and hot spots based on patent application data, this research gave the idea of hot spot identification of technology demand based on patent technology transaction data, which can provide the decision-making support for concerning technical market, identifying the technical requirements from technology transaction data, guiding the research and development direction and improving the conversion rate of technological achievements.
作者
程力培
董策玮
张兆一
郭静雯
何喜军
CHENG Lipei;DONG Cewei;ZHANG Zhaoyi;GUO Jingwen;HE Xijun(School of Economics and Management,Beijing University of Technology,Beijing 100124,China)
出处
《农业图书情报学刊》
2018年第7期5-9,共5页
Journal of Library and Information Sciences in Agriculture
基金
国家自然科学基金(项目编号:71371018)
北京市社会科学基金项目"要素异质性视角下京津冀现代制造产业转移路径研究"(项目编号:15JGB124)
北京市自然科学基金项目"基于技术交易数据的京津冀科技协同创新潜力挖掘"(项目编号:9172002)
关键词
专利技术交易
热点需求技术识别
京津冀
patent technology trading
hot demand technology identification
Beijing-Tianjin-Hebei
