数字图书馆论坛2023，Vol.19Issue(11)：74-82,9.DOI:10.3772/j.issn.1673-2286.2023.11.009
高校战略性新兴产业专利识别与分析系统的构建
Construction of Patent Identification and Analysis System for Strategic Emerging Industries in Universities:From IPC Automatic Identification to Semantic Similarity Study
摘要
Abstract
The identification and analysis of strategic emerging industry patents in universities have important practical significance in promoting the development and layout of disciplines,enhancing independent innovation competitiveness,and achieving the strategic goal of building a strong intellectual property country.This paper first analyzes the research status and identification difficulty of strategic emerging industry patents through literature research,and then deconstructs the Reference Relationship Table of Strategic Emerging Industry Classification and International Patent Classification(2021)(for trial implementation)formulated by the China National Intellectual Property Administration.Taking the data of Dwent patents as the analysis object,using the semantic similarity algorithm of SAO and NLTK,and using information entropy dictionary weighting,this paper constructs a semi supervised analysis system for strategic emerging industry patents that integrates automatic recognition,content analysis,quality value evaluation,and visualization research.This system can be used for universities to identify and analyze patents in strategic emerging industries.关键词
战略性新兴产业/专利/知识产权/语义分析/高校Key words
Strategic Emerging Industry/Patent/Intellectual Property Right/Semantic Analysis/University分类
社会科学引用本文复制引用
于曦,方胜宇..高校战略性新兴产业专利识别与分析系统的构建[J].数字图书馆论坛,2023,19(11):74-82,9.基金项目
本研究得到天津市哲学社会科学规划(重点)项目"'双一流'学科建设背景下全域学科分类映射理论与实践"(编号:TJTQ21-001)资助. （重点）
