CAJ | 학술논문

基于专利分析的视角，调研了国内外专利信息资源的现状和特点，明确了用于专利分析的资源及其加工深度的不足，设计了预处理和深加工的方案，重点为专利清洗和专利中四类信息的内容标引：发明类型、技术主题、发明改进和应用领域。并以新能源汽车领域为例，对中文专利进行了深加工实证研究。结果显示，利用清洗和深度标引后的专利资源能有效提高分析的准确度和专利资源揭示深度。
기우전리분석적시각，조연료국내외전리신식자원적현상화특점，명학료용우전리분석적자원급기가공심도적불족，설계료예처리화심가공적방안，중점위전리청세화전리중사류신식적내용표인：발명류형、기술주제、발명개진화응용영역。병이신능원기차영역위례，대중문전리진행료심가공실증연구。결과현시，이용청세화심도표인후적전리자원능유효제고분석적준학도화전리자원게시심도。
From patent analysis perspective, this paper surveys the present situation of patent resources and characteristics, and summarizes the shortcomings of patent resources used in analysis. Then it proposes a solution to process patent resource deeply. The emphases are cleaning and indexing of four type information:invention type, technology topic, improvement and application area. At last, it presents an empirical study, which proves that the cleaned and extracted patent resources are more accurate and revealed for analysis.