A patent map is widely used in the field of technical information mining, which can support tasks such as detecting patent vacuums and predicting technical trends. However, existing patent map construction methods have the limitations of insufficient intelligence and accuracy in mining patent technical features, which leads to failure to effectively complete the above tasks. To address these limitations, this paper proposes a patent map construction method based on multi-dimensional technical feature mining that mainly includes the following three stages. First, on the basis of the dependency parsing technology, the technical features contained in patents are fully mined in the form of triplets from three dimensions: function, behaviour and structure. Second, on the basis of Wordnet, the original triplets in three dimensions are standardised for different task scenarios. Finally, on the basis of the standard triplets, the patent map can be constructed to detect patent vacuums and support design tasks. In addition, a prototype system is developed based on the proposed method, and the effectiveness and practicability of the method and system are verified using a 3D printer as an engineering example.

中文翻译：

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一种基于多维技术特征提取的技术专利地图构建方法及系统


专利地图广泛用于技术信息挖掘领域，可以支持检测专利真空和预测技术趋势等任务。然而，现有的专利地图构建方法在挖掘专利技术特征方面存在智能性和准确性不足的局限性，导致无法有效完成上述任务。针对这些局限性，本文提出了一种基于多维技术特征挖掘的专利图谱构建方法，主要包括以下三个阶段。首先，在依赖关系解析技术的基础上，从功能、行为和结构三个维度以三元组的形式充分挖掘专利中包含的技术特征。其次，在 Wordnet 的基础上，针对不同的任务场景，将原始的三维三元组标准化。最后，在标准三联体的基础上，可以构建专利图来检测专利真空并支持设计任务。此外，基于所提出的方法开发了原型系统，并以 3D 打印机作为工程实例验证了该方法和系统的有效性和实用性。