Measuring patent similarity with SAO semantic analysis
Measuring patent similarity with SAO semantic analysis
复制标题
使用 SAO 语义分析测量专利相似度
DOI：
10.1007/s11192-019-03191-z
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发表时间：
2019-07
期刊：
影响因子：
3.9
通讯作者：
Huang Ying
中科院分区：
文献类型：
--
作者：
Wang Xuefeng;Ren Huichao;Chen Yun;Liu Yuqin;Qiao Yali;Huang Ying
专利不仅是知识产权的重要方面，也是保护技术发明的唯一途径之一。然而，近年来，专利数量急剧增加，因此，专利申请人和专利审查员都发现更难进行专利注册过程的尽职调查步骤。因此，缺乏一种快速、简便的方法来准确衡量专利相似度已成为保护知识产权的重大障碍。目前，衡量专利相似度的方法主要有三种：IPC代码分析、引文分析和关键词分析。这些方法都不能完全反映专利内容中的语义。作为一种新兴的方法论，主体-动作-客体(SAO)语义分析确实反映了语义，但大多数方法将每种识别的关系同等重要，这不一定提供准确的专利相似性度量。为了给SAO分析提供这种能力，本文引入了一个名为DWSAO的新指标来反映每个SAO语义结构的权重。此外，我们提出了一种语义分析框架，该框架结合了DWSAO索引，用于基于专利中每个SAO结构的权重来查找相似专利。通过机器人领域专利相似度的案例研究，验证了该方法的可靠性。结果突出了该方法的详细含义、结果的准确性以及使用该方法的实际意义。
Patents are not only an important aspect of intellectual property rights, but they are also one of the only ways to protect technological inventions. However, in recent years, the number of patents has been increasing dramatically and, as a result, both patent applicants and patent examiners are finding it more difficult to conduct the due diligence step of the patent registration process. Therefore, the lack of a quick and easy way to accurately measure patent similarity has become a significant obstacle to protecting intellectual property. Currently, there are three main ways to measure patent similarity: IPC code analysis, citation analysis, and keyword analysis. None of these approaches are able to fully reflect the semantics in a patent’s content. As an emerging methodology, subject–action–object (SAO) semantic analysis does reflect semantics, but most approaches treat each identified relationship as equally important, which does not necessarily provide an accurate measure of patent similarity. To offer this power to SAO analysis, this article introduces a new indicator called DWSAO as a reflection of the weight of each SAO semantic structure. Further, we present a semantic analysis framework that incorporates the DWSAO index for finding similar patents based on the weight of each SAO structure in the patent. A case study on the similarity of patents in the field of robotics was used to verify the reliability of the method. The results highlight the detailed meanings derived from the method, the accuracy of the outcomes, and the practical significance of using this approach.
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影响因子：
3.9
作者：
Christian Sternitzke;Isumo Bergmann
通讯作者：
Christian Sternitzke;Isumo Bergmann
DOI：
10.1016/j.joi.2016.09.006
发表时间：
2016-11
期刊：
J. Informetrics
影响因子：
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作者：
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DOI：
10.1111/j.1467-9310.2008.00533.x
发表时间：
2008-10
期刊：
IRPN: Innovation & Patent Law & Policy (Sub-Topic)
影响因子：
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作者：
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通讯作者：
Isumo Bergmann;D. Butzke;Lothar Walter;J. P. Fuerste;M. Moehrle;V. Erdmann
DOI：
10.3115/v1/p15-1034
发表时间：
2015-07
期刊：
--
影响因子：
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作者：
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通讯作者：
Gabor Angeli;Melvin Johnson;Christopher D. Manning
影响因子：
8.5
作者：
Park, Hyunseok;Kim, Kwangsoo;Yoon, Janghyeok
通讯作者：
Yoon, Janghyeok