Abstract
Reliable search results are necessary in the empirical analyses utilizing patent data. In this study, we evaluate the tagging schemes for patent documents related to low carbon technologies and provide a patent analysis of bioethanol with PCT patent publications between 2010 and 2016. The classification-based queries were optimized to find grain bioethanol (1G), cellulosic bioethanol (2G) and patents belonging to grain and cellulosic bioethanol (1G AND 2G) trajectories. The results reveal that based on original search strategy, only second-generation cellulosic bioethanol patents could be identified with a good match. Through use of co-classification and content analysis of patents we expand understanding of bioethanol inventions and potential future technology generations in the field.
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