CAJ | 학술논문

在分析现有基于专利文献进行技术预测方法不足的基础上，提出一种基于专利文献和知识图谱的技术预测方法。（1）使用 Google 知识图谱和领域知识创建领域知识图谱；（2）依据创建的领域知识图谱对专利文献赋予标签；（3）引入社会网络社区进化研究成果，基于专利文献标签之间的网络图进行新兴技术预测。以肺癌领域技术预测为例，绘制肺癌领域知识图谱，进行方法验证并预测。验证结果显示，该方法可较好地进行技术预测。
재분석현유기우전리문헌진행기술예측방법불족적기출상，제출일충기우전리문헌화지식도보적기술예측방법。（1）사용 Google 지식도보화영역지식창건영역지식도보；（2）의거창건적영역지식도보대전리문헌부여표첨；（3）인입사회망락사구진화연구성과，기우전리문헌표첨지간적망락도진행신흥기술예측。이폐암영역기술예측위례，회제폐암영역지식도보，진행방법험증병예측。험증결과현시，해방법가교호지진행기술예측。
This paper proposes an improved analysis method on the basis of the existing methods of patent analysis for tech-nology forecasting.Compared with the existing methods,this novel method has the following innovations:1.using google graph and domain knowledge to create a domain knowledge graph;2.using domain knowledge graph to label the patent documents;3.using social network community evolution research results to predict technology forecasting.Finally,the au-thors select the field of lung cancer for method validation and prediction.The result shows this new method can support the technology forecasting.