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.

中文翻译：

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从专利数据中识别生物乙醇技术世代

摘要 在利用专利数据进行实证分析时，需要可靠的检索结果。在本研究中，我们评估了与低碳技术相关的专利文件的标记方案，并提供了 2010 年至 2016 年间 PCT 专利出版物中生物乙醇的专利分析。基于分类的查询被优化以查找谷物生物乙醇 (1G)、纤维素生物乙醇(2G) 和属于谷物和纤维素生物乙醇 (1G AND 2G) 轨迹的专利。结果表明，基于原始检索策略，只有第​​二代纤维素生物乙醇专利可以被很好地匹配。通过使用专利的共同分类和内容分析，我们扩大了对该领域生物乙醇发明和潜在未来技术的理解。