Technology Dependency Graph (TDG): A Scientific Literature Mining Based Method for Technology Insight

摘要

The increasingly massive amount and open access of literature provide a data foundation for technology insight based on big data analysis. This paper proposes a new technology insight framework based on the text miningTechnology Dependency Graph (TDG). Firstly, an adversarial multitask learning model and distantly-supervised learning model are applied to extract the technology entities and dependency relations with a little labeled sample. Then, a weighted directed graph, i.e., a TDG, is constructed with the technology entities as vertices and the dependency relations as edges. A TDG contains rich and valuable semantic information which represents the support, contribution or relying on relationship between technologies. At the same time, the social network properties of TDG allow researchers to analyze and mine hot topics, key technologies, and technology architecture by using network theories, methods and tools. In the case study, the TDG of DSSC (dye-sensitized solar cell) is constructed. Furthermore, the technology dependency architecture for DSSC is constructed according to a spanning tree out of the TDG, which provides a global perspective for the research of DSSC.