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作 者:唐晓波[1,2] 吴海婷 吴佳琳 Tang Xiaobo
机构地区:[1]武汉大学信息系统研究中心,湖北武汉430072 [2]武汉大学信息管理学院,湖北武汉430072
出 处:《情报理论与实践》2023年第10期86-95,共10页Information Studies:Theory & Application
基 金:国家社会科学基金重大项目“基于大数据的科教评价信息云平台构建和智能服务研究”的成果,项目编号:19ZDA349。
摘 要:[目的/意义]专利引文分析是专利分析研究的重要内容。传统专利引文分析仅分析专利文献中明确标示的物理引用专利数据,不能够准确真实反映专利之间的引用关系,难以准确揭示专利之间的技术相似度。专利语义引用识别有利于准确真实揭示专利间的潜在语义联系,为专利的继承与创新评价提供参考,有助于专利授权前的专利审核和专利授权后的专利评价。[方法/过程]首先,基于规则和句法分析抽取了专利的特征知识元;其次,利用Sentence-BERT和Word2Vec对专利特征知识元及专利标题摘要文本进行向量化表示;再次,根据余弦相似度计算专利的特征相似度和整体相似度,结合专利申请日期的先后顺序得到专利的语义引用专利集;最后,采用量子计算领域专利数据进行了实验研究。[结果/结论]该专利语义引用识别方法能够实现语义引用专利的有效识别,有利于评价专利的技术新颖性、创造性和实用性,为专利审核和专利价值评估工作提供支持。[Purpose/significance]Patent citation analysis is essential to the patent analysis.The traditional patent citation analysis only analyzes the patent data marked in the patent documents,which cannot accurately and honestly reflect the citation relationship between patents.It is difficult to reveal the technical similarity between patents accurately.Identifying patent semantic references is conducive to accurately and genuinely revealing the potential semantic relationship between patents,providing a reference for the inheritance and innovation evaluation of patents,and helping patent review before patent authorization and patent evaluation after patent authorization.[Method/process]Firstly,the feature knowledge elements of patents are extracted based on rules and syntax analysis.Secondly,the Sentence-BERT and Word2Vec models are used to express the patent feature knowledge elements and the patent title abstract text quantitatively.Thirdly,the feature similarity and overall similarity of patents are calculated according to cosine similarity,and the semantic reference patent set of patents is obtained by combining the sequence of patent application dates.Finally,experimental research was carried out using patent data in the field of quantum computing.[Result/conclusion]This method can realize the effective recognition of semantic reference patents,which is conducive to the evaluation of technical novelty,creativity,and practicability of patents,and provides support for patent review and patent value evaluation.
关 键 词:语义引用识别 特征知识元 语义相似度 Sentence-BERT Word2Vec
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