 Use of a new patent text-mining and visualization method for identifying patenting patterns over time: Concept, method and test applicationHelen Niemann, Martin G. Moehrle and Jonas Frischkorn Technological Forecasting and Social Change, 2017, vol. 115, issue C, 210-220 Abstract: Understanding the evolution of a technological field in the course of time is a key task in technology analysis. Analysts in research institutions as well as in companies need to know which topics are relevant for the respective technological field, which are the emerging topics, which traditional topics have been deepened in the course of time and which have been abandoned. For this purpose we suggest a patent lane analysis. Patent lanes can be seen as the deployment of patent clusters in the course of time. We use a method based on semantic similarities to develop patent lanes. A case study focuses on the application of carbon fibers in bicycle technology; it is used to demonstrate our method, i.e. to establish patent lanes in this case and characterize them by multiple use of a Tf idf measure. Despite some limitations, patent lanes enable deep insights into the development of patent-friendly technological fields. Keywords: Patent lanes; Patent analysis; Cluster analysis; Similarity measurement; Visualization; Citation networks; Technological trajectories (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:115:y:2017:i:c:p:210-220 DOI: 10.1016/j.techfore.2016.10.004 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.