同一领域产品的专利技术具有高技术关联度等特征,企业在生产经营活动中面临着专利侵权的潜在风险,立足于企业专利侵权预警的实际需求,高效、准确地检测产品存在的专利侵权风险具有重要意义.由此,本文提出了专利侵权风险预警模型,该模型重新定义了领域专利知识图谱、产品技术方案图谱的模式层,涵盖了组件实体、结构实体和功效实体三类实体类型,以及组成关系、相对位置关系、连接关系和功效达成关系四类实体关系;基于BERT(bidirectional encoder representations from transformers)和BiLSTM(bi-directional long short-term memory)模型构建专利知识图谱和产品技术方案知识图谱;基于ComplEx模型实现知识图谱的嵌入,实现产品和专利技术之间相似度的量化计算,并根据专利侵权风险指数做出侵权预警.以空气加湿器和耳机两类产品进行实证研究,专利侵权预警准确率为86.67%,具有一定的应用价值.
Patent Infringement Risk Early Warning:Using Knowledge Graphs
Patented technologies for products in the same field have characteristics such as high technical relevance and enterprises face the potential danger of patent infringement in their operations and production activities.Based on the actu-al needs of patent infringement early warning of enterprises,it is of great significance to efficiently and accurately detect the risk of patent infringement of products;thus,this study proposes a Patent Infringement Risk Early Warning Model.In this model,the schema layer of the domain patent knowledge graph and product knowledge graph are redefined,covering three types of entities:component entities,structural entities,and efficacy entities,as well as four types of entity relation-ships:composition relationship,relative position relationship,connection relationship,and efficacy achievement relation-ship.Patent and product technical scheme knowledge graphs are constructed based on the BERT and BiLSTM models.Based on the ComplEx model,the knowledge graph was embedded to achieve a quantitative calculation of the similarity between products and patented technologies,and an infringement warning was issued according to the patent infringement risk index.Two types of products,air humidifiers and earphones,were used for the empirical research,and the accuracy rate of patent infringement warnings was 86.67%,which has a certain application value.
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