基于SAO结构的专利技术功效图构建研究

Building Patent Technology-Effect Map Based on SAO Structure

SAO三元结构具有易于理解和表达的语义关系,将其作为挖掘分析的基本单元,深度分析专利文本蕴含的技术语义有助于揭示技术功效关系。从SAO结构的定义及特征出发,提出了基于SAO结构的专利技术功效图构建的思路、流程及方法,采用基于SAO结构的共现关系构建技术功效矩阵,探讨了基于SAO结构的技术主题、功效主题分析方法。通过石墨烯传感器领域为例的实证研究验证了方法的有效性。

Deep mining of technology meaning hidden under the patent text is helpful to effectively analyze the technology and effect. With the sematic structure tend to be easily understood and represented, SAO triple structure can be used as basic unit for mining analysis. Definition and characteristics of SA0 structure was introduced, and contents, specially including ideas, pro- ceeding and method for building patent- technology- effect map, were analyzed. Moreover, the method of clustering technology topic and effect were emphasized, and co - occurrence relationship on the basis of SAO would be used to calculate the occurrence frequencies for technology - effect matrix. Empirical research of graphene sensor field sufficiently validated the effectiveness of our approach.