[Objective] This paper analyzes microalgae biofuel industrial chain technology and the technology inheritance based on topic model, aiming at promoting technological innovations of this industry in China. [Methods] Firstly, we construct the microalgae biofuel industrial chain model, and build the mapping relationship between the industrial chain, technical topics and patents based on the improved LDA topic method. Then, we discover the R&D subjects and analyze technology development trend. Finally, to draw the patent development map under industrial chain segments, the patent-weighted citation network based on semantic similarity is constructed. [Results] In the aspect of algorithm, this paper achieves more accurate topic identification by the improved LDA method. It also find out the development trend of the microalgae biofuel industrial chain technology, and the technical inheritance of industrial chain segments. [Limitations] This paper only focus on the microalgae biofuel industrial chain technology, and a certain degree of background knowledge on the object industry for researchers is necessary when these models as well as results are applied to other industries. [Conclusions] It identifies the key technical segments and hot spots of microalgae biofuel industry chain, and shows that the achievement of technological innovations in this field needs the coordination of more than one segments.
Kim G, Park S, Jang D.Technology Analysis from Patent Data Using Latent Dirichlet Allocation[A]// Lee K M, Park S J, Lee J H. Soft Computing in Big Data Processing[M]. Springer International Publishing, 2014: 71-80.
Venugopalan S, Rai V.Topic Based Classification and Pattern Identification in Patents[J]. Technological Forecasting & Social Change, 2015, 94: 236-250.
(Liao Liefa, Le Fugang, Zhu Yalan.The Application of LDA Model in Patent Text Classification[J]. Journal of Modern Information, 2017, 37(3): 35-39.)
Chen H, Zhang Y, Zhu D.Identifying Technological Topic Changes in Patent Claims Using Topic Modeling[A]// Daim T U, Chiavetta D, Porter A L, et al. Anticipating Future Innovation Pathways Through Large Data Analysis[M]. Springer International Publishing, 2016: 187-209.
Kaplan S, Vakili K, Novelty V S.Usefulness in Innovative Breakthroughs: A Test Using Topic Modeling of Nanotechnology Patents[J]. Strategic Management Journal, 2015, 36: 1435-1457.
(Wu Feifei, Zhang Yaru, Huang Lucheng, et al.Multi-dimension Dynamic Evolution Analysis of Technology Topics Based on AToT by Taking Grapheme Technology as an Example[J]. Library and Information Service. 2017, 61(5): 95-102.)
(Chen Fang, Zheng Fei, Peng Hao, et al.Research on Industry and Technology Analysis Method Based on Industry Chain Mapping: Taking Food Industry Analysis for Example[J]. Library and Information Service, 2013, 57(18): 31-37.)
Conte M, Iacobazzi A, Ronchetti M, et al.Hydrogen Economy for a Sustainable Development: State-of-the-Art and Technological Perspectives[J]. Journal of Power Sources, 2001, 100(1): 171-187.
Yasunaga Y, Watanabe M, Korenaga M.Application of Technology Roadmaps to Governmental Innovation Policy for Promoting Technology Convergence[J]. Technological Forecasting and Social Change, 2009, 76(1): 61-79.
Mata T M, Martins A A, Caetano N S.Microalgae for Biodiesel Production and Other Applications: A Review[J]. Renewable and Sustainable Energy Reviews, 2010, 14(1): 217-232.
Singh J, Gu S.Commercialization Potential of Microalgae for Biofuels Production[J]. Renewable and Sustainable Energy Reviews, 2010, 14(9): 2596-2610.
Kumar S P J, Kumar G V, Dash A, et al. Sustainable Green Solvents and Techniques for Lipid Extraction from Microalgae: A Review[J]. Algal Research, 2017, 21: 138-147.