| 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——从IPC自动识别到语义相似度分析[J].数字图书馆论坛,2023,(11):74~82 |
| 高校战略性新兴产业专利识别与分析系统的构建——从IPC自动识别到语义相似度分析 |
| Construction of Patent Identification and Analysis System for Strategic Emerging Industries in Universities:From IPC Automatic Identification to Semantic Similarity Study |
| 投稿时间：2023-08-25 |
| DOI：10.3772/j.issn.1673-2286.2023.11.009 |
| 中文关键词: 战略性新兴产业；专利；知识产权；语义分析；高校 |
| 英文关键词: Strategic Emerging Industry; Patent; Intellectual Property Right; Semantic Analysis; University |
| 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。 |
| 作者 | 单位 | | 于曦 | 天津师范大学图书馆 | | 方胜宇 | 天津仁爱学院信息与智能工程学院；天津大学电气自动化与信息工程学院 |
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| 中文摘要: |
| 高校战略性新兴产业专利的识别与分析对于促进高校学科发展与布局，增强自主创新竞争力，实现知识产权强国的战略目标具有重要的现实意义。首先通过文献调研法分析战略性新兴产业专利的研究现状和识别难度，其次解构国家知识产权局制定的《战略性新兴产业分类与国际专利分类参照关系表（2021）（试行）》，以德温特专利数据为分析对象，采用SAO与NLTK语义相似度算法，利用信息熵词典加权，构建集自动识别、内容分析、质量价值评估与可视化研究于一体的战略性新兴产业专利半监督分析系统。高校可利用该系统开展战略性新兴产业专利的识别与分析。 |
| 英文摘要: |
| 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. |
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