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[目的/意义]研究构建个性化语义TRIZ的方法、流程与关键技术。该语义TRIZ可对专利中隐性技术信息进行深度揭示与语义关联。[方法/过程]设计一个开放性语义TRIZ框架。该框架从概念空间、索引空间、应用空间3个维度构建语义TRIZ;从微观层SAO、中观层技术主题、宏观层技术范畴3个层面描述语义TRIZ索引结构。基于该框架,以大口径光学元件专利为例构建领域个性化语义TRIZ。[结果/结论]针对中等规模专利数据集(数千条),本方法能有效地半自动构建领域个性化语义TRIZ,支持专利深度技术挖掘应用。
[Purpose / Significance] To study the methods, processes and key technologies of constructing personalized semantic TRIZ. This semantic TRIZ can deeply reveal and semantically relate the hidden technical information in patents. [Method / Procedure] Design an open semantic TRIZ framework. The framework constructs the semantic TRIZ from the three dimensions of concept space, index space and application space. It describes the semantic TRIZ index structure from three aspects: micro-level SAO, middle-level technology theme and macro level technology. Based on this framework, the area of personalized semantic TRIZ is constructed with the patent of large aperture optical element as an example. [Results / Conclusion] For the medium-sized patent datasets (thousands), this method can effectively semi-automatically construct domain-specific semantic TRIZ and support patent-depth technology mining applications.