论文提出了一种基于SAO结构的技术应用领域识别方法。首先提取专利摘要中的应用领域信息，然后利用自然语言处理工具获取其SAO结构，通过SAO结构之间的语义相似度计算，得到根据相似性聚类绘制的专利地图，实现技术应用领域的识别。最后以石墨烯传感器技术为例对所提出的研究方法进行了示范。本文提出的识别方法，可以实现技术按应用领域的划分，为技术跨领域应用研究奠定了基础。
Abstract
This paper proposes a method of identifying the application field of technology based on the SAO structure of patents.To identifying the application field of technology, we firstly extract the information related to the application field from the abstracts of patents, and then extract the SAO structures using natural language processing(NLP) tools,and then calculate the semantic similarity between the SAO structures and gain a clustering patent map according to the similarity of patents. In the end, the paper demonstrates the proposed method using the example of graphene sensor technology. The method proposed in this paper can realize the division of technology according to the application field, which lays a foundation for the research of technology across fields.
关键词
SAO结构 /
语义相似 /
专利 /
应用领域 /
识别
Key words
SAO structure /
semantic similarity /
patents /
application field /
identification
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基金
国家社科基金项目“新技术应用领域转移研究”（编号：12BGL020），2011-2016年；国家社科基金重大项目“新兴技术未来分析理论方法与产业创新研究”（编号：11&ZD140），2012-2014年。
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