基于向量空间的专利类比挖掘方法

摘要：新技术在进行技术突破时，很难找到创新点和技术。针对这一难题，提出一种基于向量空间的专利类比挖掘算法。首先，从源数据中获取描述功能和属性的专利技术方案（PSC），建立基于PSC的TF-IDF值的向量空间模型（VSM）；然后，根据专利文献间的信息距离制成基于PSC术语的专利地图；最后，分别对PSC进行创新性分析，根据分析结果用类比的思想进行新技术的创新。本文算法的时间复杂性为O((n2+n)/2)，低于对比算法的O(n2)。以无线充电技术专利和无线传感技术专利文献为源数据，实验结果表明，所提出的算法比对比算法能更有效的获取更具有创新性的创新方案。

Patent Mining Algorithm Based on VSM Using Analogy

Abstract]: It is hard to define problems accurately and figure out solutions in time when the innovation needs to make a technological breakthrough. To remedy existing limitations, patent mining algorithm based on VSM using analogy is suggested. Firstly, extract Problem Solution Concepts (PSCs) from source data and create Vector Space Model (VSM) based on TF-IDF values of PSCs. Then, construct patent map according to the similarities among patents. Finally, calculate the opportunity score and choose the PSC which has a high opportunity score to create new innovation scheme on the new technology using analogy. The time complexity of the suggested algorithm is O((n2+n)/2) which is lower than O(n2) that belongs to comparative algorithm. The algorithm is tested by a case study of wireless charger technology and wireless sensing technology. It turns out that the suggested algorithm is more capable of creating innovational scheme than the comparative algorithm.