关键词: “主语-行为-宾语”(SAO), 技术路线图(TRM), 技术路径识别, 染料敏化太阳能电池(DSSC), Subject–Action–Object(SAO), Technology roadmaps (TRM), Technology path recognition, Dye-sensitized solar cells (DSSC)

Abstract: Technology roadmapping is a flexible tool to support emerging technology development path recognition and prediction, which has been widely used within countries, industries and enterprises. However, current technology roadmapping is mainly displayed by technical entities (keywords) as the core elements, which cannot effectively reflect the vein of technology development. In this paper, the subject-action-object (SAO) structures and natural language processing is used to help to construct technology roadmaps. First, we clear the domain key issue by natural language processing and experts’ knowledge. Then we extract SAO structure using Stanford parser software and analyze the technologies of solving key issues. After that, we display the relationships of the key issues and technology in the form of technology roadmaps. Finally, this paper starts an empirical study in the field of dye-sensitized solar cells (DSSC) with SCI-Expended data and experts’ knowledge, generates the technology roadmapping of improving the conversion efficiency of DSSC. The empirical shows that the method can provide an important reference for emerging technology innovation path recognition, and confirm the validity and applicability of the construction model for technology roadmapping.