Measuring Technology Maturity: Operationalizing Information from Patents, Scientific Publications, and the Web

Till Albert presents a

machine learning based approach to harnessing information contained in big data

from different media sources such as patents, scientific publications, or the

internet. He shows how this information can be used for automated maturity

evaluation of yet unknown technologies. Elaborate patent based indicators contain

very useful information on technological aspects of maturity but lack for

others such as social, economic, ecological, or political factors. The approach

presented in this book is able to incorporate these other factors and provide a

firm basis for robust technology maturity and speed of maturity evaluation.