Abstract: Morphology analysis, a future-oriented analyzing method, has been widely used in new product development and technology opportunity analysis (TOA). However, the definition process of morphological structure relies too much on domain experts and keyword-based method has obvious deficiency, so that the practical application effect is limited. Accordingly, this paper proposed a systematic method to construct technology morphological structure, with introducing SAO semantic analysis method. To verify the feasibility and validity of the method, we conduct an empirical study in the field of dye-sensitized solar cells (DSSCs) based on DWPI database. The method reduces the dependency on experts further and improves the efficiency of defining morphological structure, which is helpful for technology forecasting research and application.