The Role of Text Mining in Patent Research at Boehringer Ingelheim

Thursday, 06 October 2016, 9:00am EDT
15:00 CEST
Europe Time (Berlin, GMT +02:00)

Scientists spend a lot of time sifting through patents to find relevant material to answer specific questions. Join Dr. Thorsten Schweikardt from Boehringer Ingelheim and RightsDirect in our webinar to hear how he and his colleagues developed a patent analysis workflow, making a previously difficult task achievable by using text mining to prioritize patent review in order to save time and cut costs. Dr. Thorsten Schweikardt will describe Boehringer Ingelheim’s analysis pipeline, review tools such as Linguamatics I2E and KNIME, and discuss some challenges and potential future enhancements in this process.

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Thorsten Schweikardt is a Senior Information Scientist at the Scientific Information Center of Boehringer Ingelheim Pharma located in Biberach, Germany. He provides project support for early-to-late stage projects in RD&M with database research, information retrieval and text mining. He is a structural biologist by training and holds a PhD from the University of Mainz, Germany.