需求驱动的跨领域专利技术挖掘方法

Demand-driven cross-domain patent technology mining method

摘要:

本文提出了一种需求驱动的跨领域专利技术挖掘方法,以需求为驱动从专利数据库中检索专利,并且通过对专利技术特征、引用关系、法律状态等多个方面的分析,实现了对跨领域专利技术的挖掘。该方法使用了自然语言处理技术,通过对专利数据的提取和分析,完成了跨领域专利技术挖掘形成了早期方案,并基于技术系统进化理论对其进行创新性评价。为面向企业产品研发的专利挖掘工作提供了一种高效方法。通过油烟机实例研究表明,该方法在跨领域专利技术挖掘方面表现出了较高的准确性和效率。

Abstract:

This article proposes a demand-driven cross-domain patent technology mining method, which retrieves patents from the patent database based on demand and achieves the mining of cross-domain patent technologies through analysis of patent technology features, citation relationships, legal status, and other aspects. This method utilizes natural language processing technology to extract and analyze patent data, enabling the early formulation of mining schemes for cross-domain patent technologies, and conducts innovative evaluations based on the theory of technological system evolution. It provides an efficient method for patent mining in enterprise product research and development. The case study on range hood demonstrates that this method exhibits high accuracy and efficiency in cross-domain patent technology mining.