摘要
[目的 /意义]针对如何准确进行专利侵权检测,提出一种基于图相似度的专利侵权检测方法。[方法/过程]将专利语义特征抽取为subject-action-object(SAO)结构并利用图论将其表示为图的形式,然后将图转换为邻接矩阵并计算邻接矩阵的相似性来完成专利侵权判定,最后利用专利样本数据比较该方法与传统方法的判定准确率。[结果 /结论]实证研究结果表明,本研究提出的方法判定准确率更高,比传统的基于专利文本向量的方法准确率提升4.89%,可以作为专利侵权检测的有效方法。
[Purpose/significance] Aimed at how to carry out patent infringement detection accurately,a patent infringement detection method based on graph similarity is proposed. [Method/process]The patent semantic feature is extracted into the Subject-Action-Object( SAO) structure and expressed as graph form by graph theory. Then the graph is transformed into adjacency matrix and the similarity of the adjacency matrix is calculated to complete the patent infringement judgment. Finally,it compare the accuracy of the method and the traditional method with the sample data. [Result/conclusion]The empirical results show that the proposed method is more accurate than the traditional method,and the accuracy rate is 4. 89% higher than that of the method based on patented text vector. So the method proposed in this study can be used as an effective method of patent infringement detection.
引文
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